CN108108693B - Intelligent identification monitoring device and recognition methods based on 3D high definition VR panorama - Google Patents
Intelligent identification monitoring device and recognition methods based on 3D high definition VR panorama Download PDFInfo
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- CN108108693B CN108108693B CN201711381101.8A CN201711381101A CN108108693B CN 108108693 B CN108108693 B CN 108108693B CN 201711381101 A CN201711381101 A CN 201711381101A CN 108108693 B CN108108693 B CN 108108693B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/23—Recognition of whole body movements, e.g. for sport training
- G06V40/25—Recognition of walking or running movements, e.g. gait recognition
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The present invention relates to based on 3D high definition VR panorama Intelligent identification monitoring device and recognition methods, including monitoring client, base station and control room and wireless communication connection is passed sequentially through, monitoring client includes personnel's video acquisition device for collector's data information and the environmental factor acquisition device for collector's local environment data information；Personnel's video acquisition device includes recognition of face acquisition equipment, gait video capture device and the first wireless transport module；Base station includes the first storage equipment and the second wireless transport module；Control room includes third wireless transport module, master control control equipment, the 4th wireless transport module and multiple monitoring devices and is successively wirelessly connected.The present invention provides for postorder matching identification identity by the way that the collected personnel's video data of personnel's video acquisition device and the collected ambient video data of environmental factor acquisition device are combined as feature set and more improves basis；Multiple monitoring devices operate comparison simultaneously, improve recognition efficiency and accuracy rate.
Description
Technical field
The present invention relates to living things feature recognition fields, more particularly to the monitoring of the intelligent recognition based on 3D high definition VR panorama
Device and recognition methods.
Background technique
Biometrics identification technology is a kind of method for identifying individual identity, including recognition of face, fingerprint recognition, iris knowledge
Not and a variety of identification technologies such as Gait Recognition, now widely used face recognition technology be utilize video camera to face information into
It passed through feature extraction, analysis and than equivalent process, but the Ministry of Public Security needs when through monitoring system searching suspect to people
Identity characteristic when confirmation is compared, if face information is blocked all or part of, face recognition technology it is accurate
Degree just will be greatly reduced, and gait Recognition technology is used then to need to acquire a large amount of gait figure when identifying the identity characteristic of people
As characteristic information sequence, and the accuracy of gait Recognition technology, 70% or so, the accuracy rate of both identification technologies is not very
It is high；
Although video camera in the market can will photograph face, figure gait video and the image transmitting of suspect to master control
Room processed, public security officer can clearly grasp the whereabouts of suspect, still, the thought of station that but can not be on the spot in person in suspect
Its psychology variation is grasped in angle, at this moment with regard to needing to provide a kind of Intelligent identification monitoring device based on 3D high definition VR panorama, is made
Public security officer speculates the psychological activity for grasping suspect in the thought angle from suspect as on the spot in person, be more conducive to
It solves a case, solves the problems, such as above-mentioned exist with this.
Summary of the invention
The present invention provides a kind of Intelligent identification monitoring device based on 3D high definition VR panorama and recognition methods, is known by face
Not Cai Ji equipment, gait video capture device and environmental factor acquisition device acquire the first face video data, the first step respectively
State video data and first environment data are transferred to master control control equipment through base station radio, to above-mentioned three in master control control equipment
Video carries out processing three set of first face figure gait ambient video data of synthesis, and downloading extracts first from holder server
People's template image obtains module by new feature and carries out feature mark synthesis the second personal template figure to first man template image
Picture is finally carried out second personal template's image with comparison module with three the first face figure gait ambient video data respectively
Similarity-rough set finally shows similarity value on the display module, improves the accuracy of identification identity, above-mentioned come what is solved
Problem.
To solve the above problems, technical solution provided by the invention is as follows:
Based on the Intelligent identification monitoring device of 3D high definition VR panorama, including monitoring client, base station and control room and pass sequentially through
Wireless communication connection, the monitoring client includes for personnel's video acquisition device of collector's data information and for adopting
The environmental factor acquisition device of collection personnel's local environment data information；
Personnel's video acquisition device includes recognition of face acquisition equipment, gait video capture device and the first wireless biography
Defeated module；The environmental factor acquisition device includes VR panoramic camera, the temperature and humidity sensing for shooting ambient enviroment video
Device, GPS positioning system, wind sensor, optical sensor, the first microcontroller and the 5th wireless transport module, the VR are complete
Scape video camera, Temperature Humidity Sensor, GPS positioning system, wind sensor, optical sensor respectively with first microcontroller
Input terminal electrical connection, the output end of first microcontroller connect with the 5th wireless transport module；
The base station includes the first storage equipment and the second wireless transport module；
The control room include third wireless transport module, master control control equipment, the 4th wireless transport module and at least one
It monitoring device and is successively wirelessly connected, the monitoring device includes human-computer interaction module and display module；
First wireless transport module be used for by the recognition of face acquisition the collected first face video data of equipment and
The collected first gait video data transmitting of gait video capture device gives the first storage equipment, the 5th wireless biography
Defeated module is used to for the collected first environment data of the environmental factor acquisition device being sent to the first storage equipment；
Second wireless transport module is for receiving the first face video data, the first gait video data and first environment number
It is transmitted it out again according to existing in storage equipment, third wireless transport module is for receiving the first face video data, first
There are be analyzed and processed into three set of first face figure in the master control control equipment for gait video data and first environment data
Gait ambient video is sent, and the 4th wireless transport module is used to receive three set of first face figure gait ambient video and will
It is sent to human-computer interaction module.
Preferably, the recognition of face acquisition equipment is the first digital high-definition camera component, gait video capture device
For the second digital high-definition camera component；
The first digital high-definition camera component includes three digital high-definition cameras, three rotary components, three bottoms
Seat, a supporting plate, telescopic rod and support frame, the rotary components are U-shaped runing rest and rotating circular disk, and each number is high
Clear video camera passes sequentially through U-shaped runing rest under upper and rotating circular disk is detachably connected on the pedestal, three bottoms
Seat is uniformly mounted on the supporting plate upper wall in a triangle, and the supporting plate is detachably connected on support frame as described above top by telescopic rod
End；The first stepper motor for driving the digital high-definition camera to be rotated up and down, institute are additionally provided on the U-shaped runing rest
The lower part of rotating circular disk is stated equipped with the second stepper motor for driving the digital high-definition camera to rotate horizontally；
The structure one of the structure of the second digital high-definition camera component and the first digital high-definition camera component
It causes.
Preferably, the master control control equipment includes:
Administrator right enters module, can enter for making administrator input close breath information-preserving by authentication mode；
Face receiving module, for receiving the first face video data of the recognition of face acquisition equipment output；
Gait receiving module, for receiving the first gait video data of the gait video capture device output；
Human face data divides module, at the first face video data for receiving to the face receiving module
Reason is desalinated the shelter of face, to highlight the profile and characteristic point of face；
Gait data divides module, for being split to the received first gait video data of the gait receiving module
Processing, obtains the composite video data of at least one body gait data, corresponding second human body figure data；
Face comparison module, for dividing multiple second face videos after human face data segmentation resume module
Resolution compares, and filters out the most clearly three different perspectives the second face video data；
Gait comparison module, for dividing at least one composite video after gait data segmentation resume module
Resolution compares, and filters out the most clearly three different perspectives the second figure gait video datas；
Composite module, being used for will be second described in the second face video data described in three different perspectivess and three different perspectives
Figure gait video data is combined to form corresponding three sets of thirds face figure gait composite video data；
Image overlay module, when being used for that three third face figure gait composite video data are corresponding with three respectively
Between section shoot the first environment data be overlapped, obtain three set of first face figure gait ambient video data；
Storage module, for three sets of the first face figure gait ambient video data to be carried out record storage；
Output module is combined, for using the first face figure gait ambient video data as feature set Wireless transceiver
To monitoring device described at least one.
Further, the human-computer interaction module includes face extraction module, new feature acquisition module and comparison module；
The face extraction module is used for required for extracting in all personnel's data information stored on holder server
The downloading of first man template image extract, the new feature obtains module and is used for the spy in personnel's template image
Reference breath carries out feature mark, and second personal template's image for being formed is respectively with three after the comparison module is used to mark feature
It covers the first face figure gait ambient video data and carries out similarity comparison analysis, and shown on the display module
Similarity value after comparison is to identify identity.
Further, it includes human face data message sub-module, figure gait data information submodule that the new feature, which obtains module,
Block and splicing module, the figure gait data message sub-module include figure data submodule and gait data submodule；Institute
Human face data message sub-module is stated to mark for carrying out feature to the face characteristic in the first man template image to be formed
Third individual's face template image；The figure data submodule be used for the figure feature of the first man template image into
To form third individual's figure template image, the gait data submodule is used for the first man template row feature mark
Gait feature in image carries out feature mark to form third personal move state template image, and the splicing module is used for institute
State third individual's face template image, the third individual figure template image and the third personal move morphotype plate image mosaic
Form the second personal template image.
Preferably, the intelligent identification Method based on 3D high definition VR panorama:
S1, the first face video data of acquisition, the first gait video data and first environment data；
S2, three data in previous step are handled into three set of first face figure gait ring of synthesis through image overlay module
Border video data；
S3, first man template image is extracted in downloading from holder server；
S4, first man template image progress feature is marked to form the second personal template figure using new feature acquisition module
Picture；
S5, the second personal template's image formed after marking feature respectively with three the first face figure gait rings
Border video data carries out similarity comparison analysis；
Similarity numerical value after S6, display comparison, to identify identity.
Further, three data by previous step handle three set of first face body of synthesis through image overlay module
Shape gait ambient video data include:
S21, the first face video data that recognition of face acquisition equipment output is received by face receiving module；It is connect by gait
Receive the first gait video data that module receives the output of gait video capture device；
S22, the first face video data is handled by human face data segmentation module, the shelter of face is desalinated,
To highlight the profile and characteristic point of face；The first gait video data is split by gait data segmentation module
Reason, obtains the composite video of at least one body gait data, corresponding second human body figure data；
S23, multiple second face videos after human face data segmentation resume module are differentiated by face comparison module
Rate compares, and filters out the most clearly three different perspectives the second face video data；By gait comparison module to gait number
Resolution ratio is carried out compared with and filtering out the most clearly three different views according at least one composite video after segmentation resume module
Angle the second figure gait video data;
S24, as described in composite module second face video data and three different perspectivess described in three different perspectivess
Two figure gait video datas are combined to form corresponding three sets of thirds face figure gait composite video data；
It is S25, by image overlay module that three third face figure gait composite video data are corresponding with three respectively
The period first environment data of shooting are overlapped, and obtain three set of first face figure gait ambient video data.
Further, described that first man template image progress feature is marked to form second using new feature acquisition module
People's template image includes:
S41, by human face data message sub-module in first man template image face characteristic carry out feature mark with
Form third individual face template image；Feature is carried out by figure feature of the figure data submodule to first man template image
Mark is to form third individual's figure template image；By gait data submodule to the gait feature in first man template image
Feature mark is carried out to form third personal move state template image；
S42, by splicing module to third individual's face template image, the third individual figure template image and described
Three personal move morphotype plate image mosaics form the second personal template image.
Further, the face characteristic are as follows: between two eyes spacing, eyes respectively between nose and mouth between
Away from, the spacing of the length-width ratio of auricle and auricle and corresponding eyes.
Further, the figure feature are as follows: the length-width ratio on head, the relative position on head and shoulder breadth, arm and leg
Length is than, the numerical value that waist is wide and foot is long；The gait feature are as follows: thigh and shank ratio, lower-leg length, step distance, knee
Curvature, bipod angle.
Beneficial effect compared with the existing technology is:
1, the present invention acquires equipment, gait video capture device and environmental factor acquisition device by recognition of face and adopts respectively
Collect the first face video data, the first gait video data and first environment data, be transferred to master control control equipment through base station radio,
Processing three set of first face figure gait ambient video data conduct of synthesis is carried out to above-mentioned three videos in master control control equipment
Feature set is compared for the postorder personal template's image that extracts from holder server, and identification identity characteristic provides more
Add kind basis；
2, module being obtained using new feature, feature mark processing second people's mould of formation is carried out to first man template image
Plate image, with comparison module to second personal template's image respectively with three sets of the first face figure gait ambient video numbers
According to carrying out similarity comparison analysis, and show on the display module similarity value after comparison to identify identity,
The accuracy rate that intelligent monitoring and controlling device identifies human body identity characteristic is improved with this；
3, first man is extracted in downloading to the face extraction module at least one monitoring device from holder server simultaneously
Template image obtains modular character mark second personal template's image of synthesis through new feature, finally with comparison module by second
People's template image carries out similarity comparison analysis with three sets of the first face figure gait ambient video data respectively, to mention
High operation recognition efficiency and accuracy rate.
Detailed description of the invention
Illustrate embodiment or technical solution in the prior art in order to clearer, it below will be to embodiment or the prior art
The required attached drawing used is briefly described in description, it is clear that, the accompanying drawings in the following description is only some realities invented
Example is applied, it for those of ordinary skill in the art, without creative efforts, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the Intelligent identification monitoring device structural schematic diagram of the invention based on 3D high definition VR panorama；
Fig. 2 is master control device structure schematic diagram of the invention；
Fig. 3 is automatic alarm device structure diagram of the invention；
In figure: 1, personnel's video acquisition device 2, environmental factor acquisition device 3, the first wireless transport module 4,
Five wireless transport modules 5, first store equipment 6, the second wireless transport module 7, third wireless transport module 8, total
Control equipment 9, automatic alarm device 91, placement plate 92, the 6th radio receiving transmitting module 93, signal amplifier 94,
Third microcontroller 95, execution unit 96, third electric telescopic rod 97, lever assembly 98, the second loudspeaker 99,
One key alarm system 10, the 4th wireless transport module.
Specific embodiment
To facilitate the understanding of the present invention, in the following with reference to the drawings and specific embodiments, the present invention will be described in more detail.
A better embodiment of the invention is given in the attached drawing.But the invention can be realized in many different forms, and unlimited
In this specification described embodiment.On the contrary, purpose of providing these embodiments is makes to the disclosure
Understand more thorough and comprehensive.
It should be noted that it can directly on the other element when element is referred to as " being fixed on " another element
Or there may also be elements placed in the middle.When an element is considered as " connection " another element, it, which can be, is directly connected to
To another element or it may be simultaneously present centering elements.Term used in this specification " fixation ", " integrated molding ",
For illustrative purposes only, the similar unit of structure is to identical label in the figure for "left", "right" and similar statement
Mark.
Unless otherwise defined, technical and scientific term all used in this specification is led with technology of the invention is belonged to
The normally understood meaning of the technical staff in domain is identical.Used term is only in the description of the invention in this specification
The purpose of description specific embodiment is not intended to the limitation present invention.
As shown in Figure 1, the embodiment of the present invention 1 is:
Based on the Intelligent identification monitoring device of 3D high definition VR panorama, including monitoring client, base station and control room and pass sequentially through
Wireless communication connection, the monitoring client include personnel's video acquisition device 1 for collector's data information and are used for
The environmental factor acquisition device 2 of collector's local environment data information；
Personnel's video acquisition device 1 includes that recognition of face acquisition equipment, gait video capture device and first are wireless
Transmission module 3；The environmental factor acquisition device 2 includes for shooting the VR panoramic camera of ambient enviroment video, temperature and humidity
Sensor, GPS positioning system, wind sensor, optical sensor, the first microcontroller and the 5th wireless transport module 4, it is described
VR panoramic camera, Temperature Humidity Sensor, GPS positioning system, wind sensor, optical sensor respectively with first micro-control
The input terminal of device processed is electrically connected, and the output end of first microcontroller is connect with the 5th wireless transport module 4；Into one
Step, the first microcontroller can be the VR panoramic video data of receiving, the data of the Temperature and Humidity module of personnel's local environment, GPS positioning coordinate
Data, wind-force supplemental characteristic, illumination parameter data send the first storage equipment 5 to by the 5th wireless transport module 4.
The base station includes the first storage equipment 5 and the second wireless transport module 6；
The control room includes third wireless transport module 7, master control control equipment, the 4th wireless transport module 10 and at least one
It a monitoring device and is successively wirelessly connected, each monitoring device includes human-computer interaction module and display module；Monitoring device
From monitoring device 1 to monitoring device N；
First wireless transport module 3 be used for by the recognition of face acquisition the collected first face video data of equipment and
The collected first gait video data transmitting of gait video capture device gives the first storage equipment 5, and the 5th is wireless
Transmission module 4 is used to for the collected first environment data of the environmental factor acquisition device 2 being sent to first storage and sets
Standby 5；
Second wireless transport module 6 is for receiving the first face video data, the first gait video data and first environment
Data exist to be transmitted it out again in storage equipment, and third wireless transport module 7 is for receiving the first face video data, the
There are be analyzed and processed into three set of first face body in the master control control equipment for one gait video data and first environment data
Shape gait ambient video is sent, and the 4th wireless transport module 10 is for receiving three set of first face figure gait ambient video
And send it to human-computer interaction module.
Preferably, the recognition of face acquisition equipment is the first digital high-definition camera component, gait video capture device
For the second digital high-definition camera component；The first digital high-definition camera component includes three digital high-definition cameras, three
A rotary components, three pedestals, a supporting plate, telescopic rod and support frame, the rotary components are U-shaped runing rest and rotational circle
Disk, each digital high-definition camera passes sequentially through U-shaped runing rest under upper and rotating circular disk is detachably connected on
On the pedestal, three pedestals are uniformly mounted on the supporting plate upper wall in a triangle, and the supporting plate is detachable by telescopic rod
It is connected to support frame as described above top；It is additionally provided on the U-shaped runing rest for driving backspin on the digital high-definition camera
The first stepper motor turned, the lower part of the rotating circular disk are equipped with for driving that the digital high-definition camera rotates horizontally
Two stepping motor；The structure of the structure of the second digital high-definition camera component and the first digital high-definition camera component
Unanimously.
Further, in order to which the range for keeping video camera that can shoot is wider, the lens length of video camera is than U-shaped rotation branch
The depth of the side wall of frame is small, to keep the first stepping motor driven video camera that can select along the shaft through U-shaped runing rest
Select 360 degree；The lower part of U-shaped runing rest is U-shaped body, and the upper end is set there are two circular hole, and shaft passes through circular hole, the first stepper motor
Working end connect with shaft one end by shaft coupling, the fixing end of the first stepper motor is detachably connected on base inner wall.
Embodiment 2 is provided with accommodating chamber in the pedestal of digital high-definition camera, partition is provided in accommodating chamber, every
On plate install video image sensors, sound transducer, loudspeaker, wireless receiving module, second storage equipment, communication unit and
Second microcontroller；The output end of video image sensors and the output end of sound transducer are electrically connected with the second microcontroller
It connecing, video and voice transfer through shot by camera carry out record preservation to microcontroller, being conveyed to the second storage equipment,
Second microcontroller can also issue audio alert signal to loudspeaker, the second microcontroller can also by wireless receiving module or
Communication module sends the data of internal reservoir；For another example, communication unit can be communication module group, in the base side wall of video camera
Power interface, Ethernet interface i.e. RJ45 interface and reseting interface can also be set, and the second microcontroller can be by wirelessly connecing
It receives module or RJ45 interface Transmission data or receives exogenous data signal.
Embodiment 3, uniformly installs multiple Buffer Units around the downside of support frame, the lower end of multiple Buffer Units with
The bottom plate of support frame connects, the upper end be detachably connected in the middle part of support frame；Buffer Unit includes: elastic telescopicing rod, two
A barrier plectane and spring, two barrier plectanes are removably mounted at the both ends of elastic telescopicing rod respectively, and spring overcoat is in elasticity
The outer wall of telescopic rod, the both ends of spring be detachably connected respectively with two barrier plectanes；For another example, elastic telescopicing rod is hollow
, spring can also be provided at the inside of elastic telescopicing rod, the both ends of spring be detachably connected respectively with two barrier plectanes, when
When support rod receives the influence of wind-force, Buffer Unit can play buffer function to support rod, can make suffered by support rod reduction
Stress, and then extend the service life of support rod accordingly.
Embodiment 4, the also mountable wind transducer on digital high-definition camera install total CPU processing in pallet lower wall
Device, wireless transmitting unit and gyro sensor uniformly install multiple electric telescopic rods, each around the downside of support rod
The inner wall of electric telescopic rod installs radio receiving unit, from CPU processor, execution unit and battery, and battery gives CPU processing
Device and the electrical connection of the motor of electric telescopic rod, supply power for, execution unit is electrically connected with the signal wire of the motor of electric telescopic rod；
When wind sensor senses wind direction signals, for example, wind direction to the left when, support rod can deviate to the left because of stress, total CPU processing
Device will receive wind direction detected by wind transducer and gyro sensor and support rod shifted signal, handle by analysis, always
CPU processor can be to the slave CPU processor signal in the electric telescopic rod on the left side, and then has execution unit to drive electric telescopic rod
Elongation, and then the offset of support rod is reduced, the stability of the digital high-definition camera shooting further kept improves bat
Take the photograph the clarity of video.
Embodiment 5 further, can be digital high in order to make video camera shoot the area video of wider scope as far as possible
Six camera lenses of setting install disk and mounting bracket on clear video camera, and each camera lens installation disk top edge is uniformly arranged infrared
Line sensor and light source install camera lens in the middle part of camera lens installation disk；Three camera lens installation disks are uniformly removably mounted at
The top of mounting bracket, and camera lens is downward, the other three camera lens installation disk is uniformly removably mounted at the top of mounting bracket
End, and camera lens is upward, to realize in the case where not rotary digital high-definition camera, takes wider array of area as far as possible
Domain video, the case where avoiding " black under lamp ".
Further, more initial data can be stored in the first storage equipment 5 and the second storage equipment, can is interior
Memory can also be database.
Preferably, as shown in Fig. 2, the master control control equipment include: administrator right enter module, face receiving module,
Gait receiving module, human face data segmentation module, gait data segmentation module, face comparison module, gait comparison module, combination
Module, image overlay module, storage module and combination output module.
Administrator right enters module, can enter for making administrator input close breath information-preserving by authentication mode；Into one
Step, it is that administrator passes through Password Input word modules, fingerprint input submodule, iris input submodule that administrator right, which enters module,
Combinations of mode of entrance or two or more any identification mode of entrance are identified with any one in recognition of face submodule,
The security level coefficient of master control control equipment is improved with this.
Face receiving module, for receiving the first face video data of the recognition of face acquisition equipment output；Into one
Step, face receiving module can be cmos image sensor.
Gait receiving module, for receiving the first gait video data of the gait video capture device output；Into one
Step, gait receiving module can be cmos image sensor.
Human face data divides module, at the first face video data for receiving to the face receiving module
Reason is desalinated the shelter of face, to highlight the profile and characteristic point of face；Further, multiple facial images use
Gaussian Blur desalinates the shelter of face, is needing the clearly place such as profile of face and characteristic point outstanding is needed to carry out
It smears, multiple images for highlighting facial contour and characteristic point can be obtained.
Gait data divides module, for being split to the received first gait video data of the gait receiving module
Processing, obtains the composite video data of at least one body gait data and corresponding second human body figure data.
Face comparison module, for carrying out resolution ratio to multiple videos after human face data segmentation resume module
Compared with, and filter out the most clearly three different perspectives facial images；Further, multiple facial images carry out resolution ratio compared with
When, it is to be measured by the horizontal and vertical pixel of every image, an equal amount of facial image, pixel is bigger, resolution ratio
Higher, facial image is more clear；When acquiring facial image, since people is movable and shooting angle, optical fiber etc. are various
Factor influences, and the resolution ratio of the facial image for multiple different angles shot is not quite similar, needs to compare by resolution ratio
Filter out the most clearly facial image of different perspectives.
Gait comparison module, for carrying out resolution ratio to multiple composite videos after gait data segmentation resume module
Compared with, and filter out the most clearly three different perspectives the second figure gait video datas；Further, multiple composite videos are behaved
The figure of body and the whole video of gait filter out the clearly method of three different perspectives figure gait images and face ratio
It is consistent compared with the method for module.
Composite module is used for three different perspectivess the second face video data and the second figure gait video
Data are combined to form corresponding three thirds face figure gait composite video data；Further, first using movement
Three different perspectives the second face video data are moved respectively to corresponding three different perspectivess the second figure gait video
In data, can be by three different perspectives the second face video data view different from three using gradual change pattern and Gradually varied fill
Angle the second figure gait video data is fused into corresponding three thirds face figure gait composite video data.
Image overlay module, when being used for that three third face figure gait composite video data are corresponding with three respectively
Between section shoot the first environment data be overlapped, obtain three set of first face figure gait ambient video data.
Storage module, for three sets of the first face figure gait ambient video data to be carried out record storage.Combination
Output module, for being wirelessly transmitted at least one institute using the first face figure gait ambient video data as feature set
State monitoring device.
Further, the human-computer interaction module includes face extraction module, new feature acquisition module and comparison module；
The face extraction module is used for required for extracting in all personnel's data information stored on holder server
The downloading of first man template image extract, the new feature obtains module and is used for the spy in personnel's template image
Reference breath carries out feature mark, and second personal template's image for being formed is respectively with three after the comparison module is used to mark feature
It covers the first face figure gait ambient video data and carries out similarity comparison analysis, and shown on the display module
Similarity value after comparison is to identify identity.
Further, it includes human face data message sub-module, figure gait data information submodule that the new feature, which obtains module,
Block and splicing module, the figure gait data message sub-module include figure data submodule and gait data submodule；Institute
Human face data message sub-module is stated to mark for carrying out feature to the face characteristic in the first man template image to be formed
Third individual's face template image；The figure data submodule be used for the figure feature of the first man template image into
To form third individual's figure template image, the gait data submodule is used for the first man template row feature mark
Gait feature in image carries out feature mark to form third personal move state template image, and the splicing module is used for institute
State third individual's face template image, the third individual figure template image and the third personal move morphotype plate image mosaic
Form the second personal template image.
Further, Harris Corner Detection Algorithm can be used in feature mark, and the feature key points of needs are marked just
Third individual's face template image, third individual's figure template image and third individual's gait containing feature mark can be formed
Template image.,
Embodiment 6, in the also settable helmet of monitoring client, in the front setting lens of helmet, before lens
Face install display screen, display screen front inwardly face public security officer eyes, the back side outwardly, display screen with combine output module
Electrical connection, can be clearly seen that the first face figure gait ambient video number after public security officer takes the helmet by display screen
According to this first face figure gait ambient video data is VR video, has reached the scene and real scene of post-processing synthesis
The purpose of fusion, can be if the station of plate on the spot in person is suspect's environment locating at that time speculates suspect convenient for public security officer
What psychological activity variation, the first environment data shot using environmental factor acquisition device 2 and personnel's video acquisition device 1 were shot
First face video data, the first gait video data are overlapped by image overlay module, are equivalent to reduction suspicion at that time
Violate locating environment, is more conducive to solve a case as early as possible.
Further, image overlay module makes the third face figure gait composite video data formed to composite module and ring
The first environment data for three corresponding period shootings that border factor acquisition device 2 summarizes are overlapped, i.e., to both views
Frequency is PIP(Picture In Picture) splicing or after doing transparent mixing superposition, the corresponding three set of first face body of formation
Shape gait ambient video data；It, can be by third face figure gait group when doing transparent mixing superposition processing to both videos
Video data is closed as main view frequency；But PIP splicing is spread third face figure gait composite video data as essential core
Full entire display screen, and first environment data are superimposed upon third face figure step as the fraction display area that occupies of auxiliary
On state composite video；And transparency overlay is being incited somebody to action after third face figure gait composite video data are carried out transparency adjustment
To form complete VR video on first environment data investigation, it is equivalent to the entire view for restoring suspect's local environment at that time
Frequently, and the two is independent of each other.
Further, in order to be more clear flexible observation the first face figure gait ambient video data i.e. VR video,
Monitoring device further includes a touch screen, which is electrically connected by the display screen installed on signal wire and helmet,
Installation action capture module on touch screen can operate according to the dynamic of public security officer or static gesture and carry out corresponding dish
It is single, and then when watching VR video, the operation of fixed point scaling is made to video scene；The zoom operations of motion capture module are hand
The acquisition of gesture image, Hand Gesture Segmentation, gesture feature extracts, gesture identification and respective point show five parts, and then according to public security officer
Dynamic gesture combine corresponding menu control to instruct the display screen that is sent on helmet, VR video is carried out corresponding
Operation.
As shown in figure 3, embodiment 7, in the automatic report of lower end setting of the digital high-definition camera of personnel's video acquisition device 1
Alarm device 9, automatic alarm device 9 include a stainless steel cabinet, placement plate 91 are equipped in cabinet, the 6th in placement plate 91
Radio receiving transmitting module 92, signal amplifier 93, third microcontroller 94, execution unit 95, third electric telescopic rod 96 and successively
The second loudspeaker 98 is arranged in the outer wall of stainless steel cabinet in electrical connection, and the fixing end of electric telescopic rod is fixed in placement plate 91,
The right end of a lever assembly 97 is connected in the movable end of electric telescopic rod, the left end of lever assembly 97 is in key alarm system
System 99；Signal amplifier 93 can amplify the signal that monitoring device sends over；Lever assembly 97 includes a raised line, convex
The upper end of item is equipped with movable part, and a lever cross passes through the circular hole of movable part, is equipped with briquetting in the both ends lower wall of lever；Work as prison
When controlling equipment discovery suspect's identity, having monitoring device to send alarm command, through the 6th radio receiving transmitting module 92 to be transferred to third micro-
Controller 94, for third microcontroller 94 in transmitting alarm command to execution unit 95, execution unit 95 gives third electric telescopic rod
96 signals make its work, are acted at the button of a key alarm system 99 using the briquetting of 97 left end of lever assembly, with latter key
Alarm system 99 can be made a phone call to nearest public security organ, and send the video of captured suspect to control room, with
So that the second loudspeaker 98 is worked afterwards, so that suspect is had nowhere to run, be more conducive to solve a case as early as possible.
Preferably, the intelligent identification Method based on 3D high definition VR panorama:
S1, the first face video data of acquisition, the first gait video data and first environment data；
S2, three data in previous step are handled into three set of first face figure gait ring of synthesis through image overlay module
Border video data；
S3, first man template image is extracted in downloading from holder server；
S4, first man template image progress feature is marked to form the second personal template figure using new feature acquisition module
Picture；
S5, the second personal template's image formed after marking feature respectively with three the first face figure gait rings
Border video data carries out similarity comparison analysis；
Similarity numerical value after S6, display comparison, to identify identity.
Further, three data by previous step handle three set of first face body of synthesis through image overlay module
Shape gait ambient video data include:
S21, the first face video data that recognition of face acquisition equipment output is received by face receiving module；It is connect by gait
Receive the first gait video data that module receives the output of gait video capture device；
S22, the first face video data is handled by human face data segmentation module, the shelter of face is desalinated,
To highlight the profile and characteristic point of face；The first gait video data is split by gait data segmentation module
Reason, obtains the composite video of at least one body gait data, corresponding second human body figure data；
S23, multiple second face videos after human face data segmentation resume module are differentiated by face comparison module
Rate compares, and filters out the most clearly three different perspectives the second face video data；By gait comparison module to gait number
Resolution ratio is carried out compared with and filtering out the most clearly three different views according at least one composite video after segmentation resume module
Angle the second figure gait video data;
S24, as described in composite module second face video data and three different perspectivess described in three different perspectivess
Two figure gait video datas are combined to form corresponding three sets of thirds face figure gait composite video data；
It is S25, by image overlay module that three third face figure gait composite video data are corresponding with three respectively
The period first environment data of shooting are overlapped, and obtain three set of first face figure gait ambient video data.
Further, described that first man template image progress feature is marked to form second using new feature acquisition module
People's template image includes:
S41, by human face data message sub-module in first man template image face characteristic carry out feature mark with
Form third individual face template image；Feature is carried out by figure feature of the figure data submodule to first man template image
Mark is to form third individual's figure template image；By gait data submodule to the gait feature in first man template image
Feature mark is carried out to form third personal move state template image；
S42, by splicing module to third individual's face template image, the third individual figure template image and described
Three personal move morphotype plate image mosaics form the second personal template image.
Further, the face characteristic are as follows: between two eyes spacing, eyes respectively between nose and mouth between
Away from, the spacing of the length-width ratio of auricle and auricle and corresponding eyes；Features described above is made by Harris Corner Detection Algorithm
It is marked with special color, to form third face image data.
Further, the figure feature are as follows: the length-width ratio on head, the relative position on head and shoulder breadth, arm and leg
Length is than, the numerical value that waist is wide and foot is long；Figure data submodule calculates first man template image by Harris Corner Detection
Method to the length of the relative position of the length-width ratio on head, head and shoulder breadth, arm and leg than, waist is wide and foot is long numerical value these
Characteristic information is marked with special color, to form third individual's figure template image；
The gait feature are as follows: thigh and shank ratio, lower-leg length, step distance, knee bends degree, bipod angle；
Gait data submodule is to first man template image by Harris Corner Detection Algorithm to thigh and shank ratio, leg length
Degree, step distance, knee bends degree, bipod angle these characteristic information are marked with special color, to form third
Personal move state template image.
Beneficial effect compared with the existing technology is:
1, the present invention acquires equipment, gait video capture device and environmental factor acquisition device by recognition of face and adopts respectively
Collect the first face video data, the first gait video data and first environment data, be transferred to master control control equipment through base station radio,
Processing three set of first face figure gait ambient video data conduct of synthesis is carried out to above-mentioned three videos in master control control equipment
Feature set is compared for the postorder personal template's image that extracts from holder server, and identification identity characteristic provides more
Add kind basis；
2, module being obtained using new feature, feature mark processing second people's mould of formation is carried out to first man template image
Plate image, with comparison module to second personal template's image respectively with three sets of the first face figure gait ambient video numbers
According to carrying out similarity comparison analysis, and show on the display module similarity value after comparison to identify identity,
The accuracy rate that intelligent monitoring and controlling device identifies human body identity characteristic is improved with this；
3, first shot using the first environment data and personnel's video acquisition device of the shooting of environmental factor acquisition device
Face video data, the first gait video data are overlapped by image overlay module, are equivalent to reduction suspect institute at that time
The environment at place is more conducive to solve a case as early as possible；
4, first man is extracted in downloading to the face extraction module at least one monitoring device from holder server simultaneously
Template image obtains modular character mark second personal template's image of synthesis through new feature, finally with comparison module by second
People's template image carries out similarity comparison analysis with three sets of the first face figure gait ambient video data respectively, to mention
High operation recognition efficiency and accuracy rate.
It should be noted that above-mentioned each technical characteristic continues to be combined with each other, the various embodiments not being enumerated above are formed,
It is accordingly to be regarded as the range of description of the invention record；Also, for those of ordinary skills, it can add according to the above description
To improve or convert, and all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (8)
1. the Intelligent identification monitoring device based on 3D high definition VR panorama, it is characterised in that: including monitoring client, base station and control room and
Wireless communication connection is passed sequentially through, the monitoring client includes personnel's video acquisition device for collector's data information
With the environmental factor acquisition device for collector's local environment data information；
Personnel's video acquisition device includes recognition of face acquisition equipment, gait video capture device and the first wireless transmission mould
Block；The environmental factor acquisition device include for shoot the VR panoramic camera of ambient enviroment video, Temperature Humidity Sensor,
GPS positioning system, wind sensor, optical sensor, the first microcontroller and the 5th wireless transport module, the VR panorama are taken the photograph
Camera, Temperature Humidity Sensor, GPS positioning system, wind sensor, optical sensor are defeated with first microcontroller respectively
Enter end electrical connection, the output end of first microcontroller is connect with the 5th wireless transport module；
The base station includes the first storage equipment and the second wireless transport module；
The control room includes third wireless transport module, master control control equipment, the 4th wireless transport module and at least one monitoring
Equipment, the monitoring device include human-computer interaction module and display module；
First wireless transport module is used for the recognition of face collected first face video data of acquisition equipment and described
The collected first gait video data transmitting of gait video capture device gives the first storage equipment, the 5th wireless transmission mould
Block is used to for the collected first environment data of the environmental factor acquisition device being sent to the first storage equipment；
Second wireless transport module is deposited for receiving the first face video data, the first gait video data and first environment data
It is transmitted it out again in storage equipment, third wireless transport module is for receiving the first face video data, the first gait
There are three set of first face figure gait is analyzed and processed into the master control control equipment for video data and first environment data
Ambient video is sent, and the 4th wireless transport module is for receiving three set of first face figure gait ambient video and being sent out
Give human-computer interaction module；
The master control control equipment includes:
Administrator right enters module, can enter for making administrator input close breath information-preserving by authentication mode；
Face receiving module, for receiving the first face video data of the recognition of face acquisition equipment output；
Gait receiving module, for receiving the first gait video data of the gait video capture device output；
Human face data divides module, for handling the first face video data that the face receiving module receives,
The shelter of face is desalinated, to highlight the profile and characteristic point of face；
Gait data divides module, for being split place to the received first gait video data of the gait receiving module
Reason, obtains the composite video data of at least one body gait data, corresponding second human body figure data；
Face comparison module, for carrying out resolution ratio to multiple second face videos after human face data segmentation resume module
Compare, and filters out the most clearly three different perspectives the second face video data；
Gait comparison module, for carrying out resolution ratio at least one composite video after gait data segmentation resume module
Compare, and filters out the most clearly three different perspectives the second figure gait video datas；
Composite module is used for the second figure described in the second face video data described in three different perspectivess and three different perspectivess
Gait video data is combined to form corresponding three sets of thirds face figure gait composite video data；
Image overlay module, for by three third face figure gait composite video data period corresponding with three respectively
The first environment data of shooting are overlapped, and obtain three set of first face figure gait ambient video data；
Storage module, for three sets of the first face figure gait ambient video data to be carried out record storage；
Combine output module, for using the first face figure gait ambient video data as feature set be wirelessly transmitted to
A few monitoring device.
2. the Intelligent identification monitoring device based on 3D high definition VR panorama described according to claim 1, it is characterised in that: the people
Face identification acquisition equipment is the first digital high-definition camera component, gait video capture device is the second digital high-definition camera group
Part；The first digital high-definition camera component includes three digital high-definition cameras, three rotary components, three pedestals, one
A supporting plate, telescopic rod and support frame, the rotary components are U-shaped runing rest and rotating circular disk, and each digital high-definition is taken the photograph
Camera passes sequentially through U-shaped runing rest under upper and rotating circular disk is detachably connected on the pedestal, three pedestals at
Isosceles triangle is uniformly mounted on the supporting plate upper wall, and the supporting plate is detachably connected on support frame as described above top by telescopic rod；
The first stepper motor for driving the digital high-definition camera to be rotated up and down is additionally provided on the U-shaped runing rest, it is described
The lower part of rotating circular disk is equipped with the second stepper motor for driving the digital high-definition camera to rotate horizontally；
The structure of the second digital high-definition camera component is consistent with the structure of the first digital high-definition camera component.
3. the Intelligent identification monitoring device based on 3D high definition VR panorama described according to claim 1, it is characterised in that: the people
Machine interactive module includes face extraction module, new feature acquisition module and comparison module；
The face extraction module be used to from all personnel's data information stored on holder server extract required for the
The downloading of one personal template's image extracts, and the new feature obtains module and is used to believe the feature in personnel's template image
Breath carries out feature mark, after the comparison module is used to mark feature second personal template's image for being formed respectively with three sets of institutes
It states the first face figure gait ambient video data and carries out similarity comparison analysis, and show comparison on the display module
Similarity value afterwards is to identify identity.
4. the Intelligent identification monitoring device according to claim 3 based on 3D high definition VR panorama, it is characterised in that: described
It includes human face data message sub-module, figure gait data message sub-module and splicing module, the body that new feature, which obtains module,
Shape gait data message sub-module includes figure data submodule and gait data submodule；The human face data message sub-module
It marks for carrying out feature to the face characteristic in the first man template image to form third individual's face template image；
The figure data submodule is used to carry out feature to the figure feature of the first man template image to mark to form third
Personal figure template image, the gait data submodule be used for the gait feature in the first man template image into
To form third personal move state template image, the splicing module is used for the third individual face template figure row feature mark
Picture, the third individual figure template image and the third personal move morphotype plate image mosaic form second personal template
Image.
5. the intelligent identification Method based on 3D high definition VR panorama, it is characterised in that:
S1, the first face video data of acquisition, the first gait video data and first environment data；
S2, three data in previous step are handled into three set of first face figure gait environment view of synthesis through image overlay module
Frequency evidence；
Three data, which are handled three set of first face figure gait ambient video data of synthesis through image overlay module, includes:
S21, the first face video data that recognition of face acquisition equipment output is received by face receiving module；
The first gait video data of gait video capture device output is received by gait receiving module；
S22, the first face video data is handled by human face data segmentation module, the shelter of face is desalinated, with prominent
The profile and characteristic point of face are shown out；
Processing is split to the first gait video data by gait data segmentation module, obtains at least one body gait number
According to the composite video of, corresponding second human body figure data；
S23, divide multiple second face videos progress resolution ratio after resume module to human face data by face comparison module
Compared with, and filter out the most clearly three different perspectives the second face video data；
By gait comparison module to gait data divide resume module after at least one composite video carry out resolution ratio compared with, and
Filter out the most clearly three different perspectives the second figure gait video datas;
S24, the second body as described in composite module second face video data and three different perspectivess described in three different perspectivess
Shape gait video data is combined to form corresponding three sets of thirds face figure gait composite video data；
S25, by image overlay module by three third face figure gait composite video data time corresponding with three respectively
The first environment data of section shooting are overlapped, and obtain three set of first face figure gait ambient video data；
S3, first man template image is extracted in downloading from holder server；
S4, first man template image progress feature is marked to form second personal template's image using new feature acquisition module；
S5, the second personal template's image formed after marking feature are regarded with three the first face figure gait environment respectively
Frequency is according to progress similarity comparison analysis；
Similarity numerical value after S6, display comparison, to identify identity.
6. the intelligent identification Method according to claim 5, it is characterised in that: described to obtain module to first using new feature
Personal template's image carries out feature and marks to form second personal template's image and include:
S41, feature mark is carried out to be formed to the face characteristic in first man template image by human face data message sub-module
Third individual's face template image；
Feature mark is carried out to form the third person by figure feature of the figure data submodule to first man template image
Shape template image；
Feature mark is carried out to form third individual to the gait feature in first man template image by gait data submodule
Gait template image；
S42, by splicing module to third individual's face template image, the third individual figure template image and the third
People's gait template image is spliced to form the second personal template image.
7. the intelligent identification Method according to claim 6, it is characterised in that: the face characteristic are as follows: between two eyes
Spacing, the eyes spacing between nose and mouth, the spacing of the length-width ratio of auricle and auricle and corresponding eyes respectively.
8. the intelligent identification Method according to claim 6, it is characterised in that: the figure feature are as follows: the length-width ratio on head,
The length of head and the relative position of shoulder breadth, arm and leg is than, the numerical value that waist is wide and foot is long；
The gait feature are as follows: thigh and shank ratio, lower-leg length, step distance, knee bends degree, bipod angle.
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| CN112084811B (en) * | 2019-06-12 | 2023-08-11 | 杭州海康威视数字技术股份有限公司 | Identity information determining method, device and storage medium |
| CN110807888A (en) * | 2019-09-24 | 2020-02-18 | 北京畅景立达软件技术有限公司 | Intelligent security method, system and storage medium for park |
| CN111461031B (en) * | 2020-04-03 | 2023-10-24 | 银河水滴科技(宁波)有限公司 | Object recognition system and method |
| CN111626187B (en) * | 2020-05-25 | 2023-08-08 | 京东科技信息技术有限公司 | Identity marking method and device, electronic equipment and storage medium |
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