CN103093177A - Face identification, detection and monitoring method - Google Patents
Face identification, detection and monitoring method Download PDFInfo
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- CN103093177A CN103093177A CN2011103332804A CN201110333280A CN103093177A CN 103093177 A CN103093177 A CN 103093177A CN 2011103332804 A CN2011103332804 A CN 2011103332804A CN 201110333280 A CN201110333280 A CN 201110333280A CN 103093177 A CN103093177 A CN 103093177A
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Abstract
A face identification, detection and monitoring method includes building a face identification data base which is stored in storage medium, utilizing an image capturing device to conduct shooting to produce dynamic images which are displayed on a display device, utilizing a face identification unit to conduct face identification treatment which includes identifying face images and identifying identification, figuring out part images with face characteristics in the dynamic images, comparing face images in the face identification data base and respectively conforming and nonconforming object face images to be qualified identification face images and unqualified identification face images and marking object face images. Green outlines and red outlines are respectively used for marking qualified identification face images and unqualified identification face images. Therefore, the face identification, detection and monitoring method utilizes a method of videos and words to provide an effective detection management solution for monitoring personnel.
Description
Technical field
The present invention relates to a kind of method for managing and monitoring, especially utilize the human face recognition function and coordinate word indicating so that the monitoring management solution to be provided.
Background technology
Generally, personnel's turnover for the specific region, often must send the on-site supervision operating personnel to use monitoring camera and coordinate monitor to control to carry out real time monitoring, and when finding to have suspicious personage or specific people to occur, personnel take the necessary measures by policer operation, such as closing the gate, press alarm bell or notifying the guard to come to process.
Yet, the shortcoming of prior art is, scene or remote monitoring operating personnel must concentrate to utilize vision with the personnel's image on observation display, and whether real-time judge suspicious personage occurs, such as terrorist, the personage that is out of favour, suspect, the crime of absconding, or specific people, such as missing or association's missing mouth, make policer operation personnel's work load extremely heavy, be easy to occur tired or visual fatigue, often cause individual careless mistake, so that do not observe existing specific personage's turnover, cause the leak on safety.
Therefore, need a kind of human face recognition method for managing and monitoring, utilize the human face recognition function and coordinate word indicating so that the monitoring management solution to be provided, solve the problem of above-mentioned prior art.
Summary of the invention
Fundamental purpose of the present invention is providing a kind of human face recognition method for managing and monitoring, and mat image and mode word provide the monitor staff more effective monitoring management solution, comprising:
Set up a human face recognition database, and with this human face recognition database storage in a storing media, wherein this human face recognition database comprises a plurality of human face recognition data, and everyone face Identification Data comprises people's face image or name;
Utilize an image capture unit to take to produce a dynamic image, and be shown in a display device;
Carrying out identification people face image, be the shown dynamic image of this display device to be carried out human face recognition process, and this human face recognition processing comprises:
Identification people face image is to find out the partial image that has face characteristic in the shown dynamic image of this display device, uses and is used as a target people face image; And
The identification identity is processed, be according to a predefined identification identity option to select the first identification identity to process or the second identification identity is processed, wherein,
It is with stored described people's face image in this human face recognition database of target people face image comparison that a described identification identity is processed, and the target people's face image that conforms to people's face image of this human face recognition database is used as the qualified people's face of an identification image, and the target people's face image that does not conform to people's face image of this human face recognition database is used as the defective people's face of an identification image;
It is to find out a plurality of more similar people face image more similar to this target people face image in this human face recognition database that described two identification identity are processed, and the most similar people's face image in described more similar people's face image is used as the qualified people's face of a most similar identification image; And
Carry out target-marking people face image, according to this identification identity option to select the first target-marking people face image processing or the second target-marking people face image processing, wherein,
The image processing of this first target-marking people face is to utilize the qualified people's face of this identification image that is compared out in the dynamic image of first coloured frame line with this display device of mark, show simultaneously its corresponding name, and the defective people's face of this identification image that is not compared out with mark with second coloured frame line, and this first coloured frame line and this second coloured frame line have different colours;
The image processing of this second target-marking people face is with the 3rd coloured frame wire tag with the qualified people's face of this most similar identification image, and the color of the 3rd coloured frame line is the color that is different from this first coloured frame line and this second coloured frame line, show simultaneously the corresponding name of the qualified people's face of the most similar identification image, or show the name of all more similar people's face images.
Therefore, the monitor staff can be in real time in the shown image of display, people's face image of mat the inventive method institute mark, and coordinate shown name, pass in and out situation and clearly observe the supervision personnel, reach the efficient of improving monitoring management and alleviate the purpose of manpower burden.
Description of drawings
Fig. 1 shows the operating process schematic diagram of human face recognition method for managing and monitoring of the present invention.
Embodiment
The skilled personnel below coordinate accompanying drawing to do more detailed description to embodiments of the present invention, so that can implement after studying this instructions carefully according to this.
With reference to figure 1, the operating process schematic diagram of human face recognition method for managing and monitoring of the present invention.As shown in Figure 1, human face recognition method for managing and monitoring of the present invention comprises a plurality of steps of sequentially carrying out, and passes in and out management in order to the personnel that assist monitor staff's Real Time Monitoring specific region.
At first, begin to set up the human face recognition database by step S10, simultaneously can be with the human face recognition database storage in storing media, wherein the human face recognition database can comprise a plurality of human face recognition data, and everyone face Identification Data can comprise people's face image, name, occupation, age, affiliated unit or company, turnover number of times, turnover time.The storing media that stores the human face recognition database can comprise solid state hard disc, Winchester disk drive, magnetic tape station or non-voltile memory, such as flash memory.
Above-mentioned people's face image can utilize camera to take pictures or utilize video camera to take people's face and produce, also can be by photo through scanister scanning and produce, or download through wired or wireless network.
Then enter step S20, utilize image capture unit to take to produce dynamic image, and be shown in display device, wherein image capture unit can be monitoring camera or image sensor.
In step S30, carry out identification people face image, be mainly the shown dynamic image of display device to be carried out human face recognition process, and the human face recognition processing comprise identification people face image processing and the processing of identification identity.The image processing of identification people face is to find out the partial image that has face characteristic in the shown dynamic image of display device, uses and is used as target people face image.
It is according to predefined identification identity option that the identification identity is processed, and processes or the processing of the second identification identity to select the first identification identity.It is with stored described people's face image in target people face image comparison human face recognition database that the first identification identity is processed, and the target people's face image that conforms to people's face image of human face recognition database is used as the qualified people's face of identification image, and the target people's face image that does not conform to people's face image of human face recognition database is used as the defective people's face of identification image.It is to find out a plurality of more similar people face image more similar to target people face image in the human face recognition database that the second identification identity is processed, such as five more similar people's face images, and the most similar people's face image in described more similar people's face image is used as the qualified people's face of the most similar identification image, therefore the underproof situation of identification can not occur, namely there is no the defective people's face of identification image.
At step S40, carry out target-marking people face image at last, according to identification identity option to select the first target-marking people face image processing or the second target-marking people face image processing.
The first target-marking people face image processing is to utilize the qualified people's face of the identification image that is compared out in the dynamic image of first coloured frame wire tag display device, or show simultaneously its corresponding name, and the defective people's face of the identification image that is not compared out with second coloured frame wire tag, wherein first coloured frame line and second coloured frame line have different colours, such as first coloured frame line can be green frame line, and second coloured frame line can be the red block line.In addition, also can show occupation, age, affiliated unit or company, turnover number of times, turnover time, in order to the qualified people's face of further mark identification image.
The second target-marking people face image processing is for a plurality of more similar people's face image that finds in step S30, with wherein the qualified people's face of the most similar identification image with the 3rd coloured frame wire tag, and the color of the 3rd coloured frame line is the color that is different from first and second coloured frame line, show simultaneously the corresponding name of the qualified people's face of the most similar identification image, or show the name of all more similar people's face images, in addition, also can further show other data of the most similar identification qualified people's face image or all more similar people's face images, so that reference to be provided.
In addition, the inventive method can further be carried out alarm processing and/or tracking process after step S40, wherein alarm processing can comprise the starting warning horn, sends Email (e-mail), sends mobile phone news in brief, call notice and other any warning system, in order to notify the related personnel, and tracking process can comprise the position of following the trail of the qualified people's face of identification image, such as seeing through the platform of monitoring software or the spatial model of 3D solid, follow the trail of and indicate the position of this tracking.
The identification people face image of above-mentioned steps S30, the target-marking people face image of step S40 and subsequent treatment can utilize single-chip controller, computing machine, remote server or other electronic-controlled installation mat carry out particular software application and realize.
In addition, the human face recognition data of human face recognition database can further comprise the human face recognition rigor, in order to distinguish the required rigorous degree of indivedual human face recognitions, provide this target-marking people face image to determine to show all or part data content of this face Identification Data.For example, the human face recognition rigor can be divided into high security, middle security and low-security, wherein the human face recognition of the high security further identification target people face image of meeting or the qualified people's face of identification image are true man's filmed image or Photograph image, or show simultaneously all data, such as occupation, age, affiliated unit or company, turnover number of times, turnover time; The human face recognition of middle security shows the first coloured frame line and name; And the human face recognition of low-security only shows first coloured frame line, does not show other data.
Characteristics of the present invention are to provide image mark and word indicating, make the monitor staff can be in real time in the shown image of display clearly the observer pass in and out situation, such as by the identification of green frame wire tag qualified people's face image and by the defective people's face of the identification of red block wire tag image, and coordinate shown name, reach the purpose of improving monitoring efficiency and manpower burden, be fit to very much be applied to monitor management plant area gate, large-scale activity gateway, big assembly place, office block gate, airport, harbour, station, specific crossing.
Another characteristics of the present invention are, specific personage's people's face image and master data can be built in the human face recognition database, thereby be labeled image reminding the monitor staff to note by what display showed above-noted persons, such as comprise the terrorist, the personage that is out of favour, suspect, the crime of absconding, association seek or the Missing Persons.
The above is only in order to explain preferred embodiment of the present invention; be not that attempt is done any pro forma restriction to the present invention according to this; therefore, all have do relevant any modification of the present invention or change under identical invention spirit, all must be included in the protection category of claim of the present invention.
Claims (8)
1. a human face recognition method for managing and monitoring, is characterized in that, this human face recognition method for managing and monitoring comprises:
Set up a human face recognition database, and with this human face recognition database storage in a storing media, wherein this human face recognition database comprises a plurality of human face recognition data, and everyone face Identification Data comprises people's face image or name;
Utilize an image capture unit to take to produce a dynamic image, and be shown in a display device;
Carrying out identification people face image, be the shown dynamic image of this display device to be carried out human face recognition process, and this human face recognition processing comprises:
Identification people face image is to find out the partial image that has face characteristic in the shown dynamic image of this display device, uses and is used as a target people face image; And
The identification identity is processed, be according to a predefined identification identity option to select the first identification identity to process or the second identification identity is processed, wherein,
It is with stored described people's face image in this human face recognition database of target people face image comparison that a described identification identity is processed, and the target people's face image that conforms to people's face image of this human face recognition database is used as the qualified people's face of an identification image, and the target people's face image that does not conform to people's face image of this human face recognition database is used as the defective people's face of an identification image;
It is to find out a plurality of more similar people face image more similar to this target people face image in this human face recognition database that described two identification identity are processed, and the most similar people's face image in described more similar people's face image is used as the qualified people's face of a most similar identification image; And
Carry out target-marking people face image, according to this identification identity option to select the first target-marking people face image processing or the second target-marking people face image processing, wherein,
The image processing of this first target-marking people face is to utilize the qualified people's face of this identification image that is compared out in the dynamic image of first coloured frame line with this display device of mark, show simultaneously its corresponding name, and the defective people's face of this identification image that is not compared out with mark with second coloured frame line, and this first coloured frame line and this second coloured frame line have different colours;
The image processing of this second target-marking people face is with the 3rd coloured frame wire tag with the qualified people's face of this most similar identification image, and the color of the 3rd coloured frame line is the color that is different from this first coloured frame line and this second coloured frame line, show simultaneously the corresponding name of the qualified people's face of the most similar identification image, or show the name of all more similar people's face images.
2. human face recognition method for managing and monitoring as claimed in claim 1, is characterized in that, this storing media comprises solid state hard disc, Winchester disk drive, magnetic tape station or non-voltile memory.
3. human face recognition method for managing and monitoring as claimed in claim 1, it is characterized in that, this face Identification Data further comprises occupation, age, affiliated unit or company, turnover number of times, turnover time, in order to be shown in this display, uses the qualified people's face of this identification of mark image.
4. human face recognition method for managing and monitoring as claimed in claim 1, is characterized in that, this image capture unit is monitoring camera or image sensor.
5. human face recognition method for managing and monitoring as claimed in claim 1, is characterized in that, this first coloured frame line can be green frame line, and this second coloured frame line can be the red block line.
6. human face recognition method for managing and monitoring as claimed in claim 1, is characterized in that, this identification people face image and this target-marking people face image are to utilize single-chip controller, computing machine or remote server mat carry out a particular software application and realize.
7. human face recognition method for managing and monitoring as claimed in claim 1, it is characterized in that, these human face recognition data can further comprise the human face recognition rigor, in order to distinguish the required rigorous degree of indivedual human face recognitions, provide this target-marking people face image to determine to show this human face recognition data of all or part.
8. human face recognition method for managing and monitoring as claimed in claim 1, further comprise after this target-marking people face image and carry out alarm processing and/or tracking process, wherein this alarm processing comprises the starting warning horn, sends Email (e-mail), sends mobile phone news in brief, calls notice, in order to notifying the related personnel, and this tracking process comprises that the spatial model of the platform that sees through monitoring software or 3D solid is to follow the trail of and to indicate the position of this tracking.
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| CN104519316A (en) * | 2013-10-08 | 2015-04-15 | 欧姆龙株式会社 | Monitoring system, monitoring method, monitoring program, and recording medium |
| CN105163096A (en) * | 2015-10-16 | 2015-12-16 | 盐城工学院 | Image intelligent efficient identification system |
| CN106033539A (en) * | 2015-03-20 | 2016-10-19 | 上海宝信软件股份有限公司 | Meeting guiding method and system based on video face recognition |
| CN106127911A (en) * | 2016-08-25 | 2016-11-16 | 济南新吉纳远程测控股份有限公司 | Gate inhibition's tracking identification method and device, recognition and tracking system, gate control system |
| CN106778449A (en) * | 2015-11-23 | 2017-05-31 | 创意点子数位股份有限公司 | The interactive film method for building up of the object discrimination method of dynamic image and automatic interception target image |
| CN107944421A (en) * | 2017-12-08 | 2018-04-20 | 触景无限科技（北京）有限公司 | Face real-time monitoring system |
| CN109214335A (en) * | 2018-09-04 | 2019-01-15 | 高新兴科技集团股份有限公司 | A kind of alarm method and equipment |
| CN111818308A (en) * | 2019-03-19 | 2020-10-23 | 温州洪启信息科技有限公司 | Security monitoring probe analysis processing method based on big data |
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| CN111818308A (en) * | 2019-03-19 | 2020-10-23 | 温州洪启信息科技有限公司 | Security monitoring probe analysis processing method based on big data |
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Application publication date: 20130508 |