CN101859374A - Distributed face identification system and identification method thereof - Google Patents
Distributed face identification system and identification method thereof Download PDFInfo
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- CN101859374A CN101859374A CN201010178453A CN201010178453A CN101859374A CN 101859374 A CN101859374 A CN 101859374A CN 201010178453 A CN201010178453 A CN 201010178453A CN 201010178453 A CN201010178453 A CN 201010178453A CN 101859374 A CN101859374 A CN 101859374A
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Abstract
The invention provides a distributed face identification system, which comprises a remote information-processing and monitoring module, and a plurality of front end devices which are respectively connected with the remote information-processing and monitoring module through a network. The method for identifying the face on a large scale by the distributed face identification system comprises the following steps that: a. the remote information-processing and monitoring module and the plurality of front end devices build network connect; b. a face-identifying module builds a face identification information base; c. the front end devices capture and process face image information, and transmit the face image information to the remote information-processing and monitoring module; d. the remote information-processing and monitoring module identifies the face image information, and transmits corresponding information to the corresponding front end devices; and e. the front end devices operate the processing information. The system is provided with the front end devices with unlimited numbers, can overcome the problems that identification points have large quantity and disperse distribution, effectively reduces the cost, has the flexibility and the expansion capability, enlarges a database of the characteristics of the face, and improves the face identifying rate and precision.
Description
Technical field
The present invention relates to the system and the method thereof in a kind of living things feature recognition field, be specifically related to a kind of distributed face identification system and recognition methods thereof.
Background technology
At present, now face recognition application is universal day by day, and the user of use is also more and more, and the scope of use is also more and more wider, the field of use more and more.Yet, the comparative maturity of face recognition technology development, also very many at the application of recognition of face, but on a large scale, distributed recognition of face also do not use at present.With regard to present domestic face identification system situation, mostly be centralized, as the garden formula, the building formula.Its shortcoming is that garden formula, building formula, recognition of face terminal are all very concentrated, and the information processing end is also just nearby, processing all be the information of relatively concentrating, and can simultaneously treated information count limitedly, information share is not strong.
Summary of the invention
The invention provides a kind of distributed face identification system and recognition methods thereof, can realize high speed, recognition of face accurately to widely distributed collection or control point, the reduction system is to restrictions such as process range, process information points, thereby increased the coverage rate that system uses, for distributed face recognition application is saved cost, and dirigibility is good, and expanded function is strong, and is easy to use.
For achieving the above object, the invention provides a kind of distributed face identification system, it is characterized in that, this system comprises the teleprocessing monitoring module, and passes through the network plurality of front end devices with this teleprocessing monitoring module respectively.
Above-mentioned teleprocessing monitoring module comprises message processing module, and the first information sending/receiving module and the face recognition module that are connected with this message processing module respectively.
Above-mentioned fore device comprises the information indicating module, and the man face image acquiring processing module that is connected with the input end of this information indicating module respectively and the second information sending/receiving module; This man face image acquiring processing module comprises acquisition module and processing module; This man face image acquiring processing module also is connected with the input end of the second information sending/receiving module.
Above-mentioned fore device expansion is provided with infinitely a plurality of.
Above-mentioned fore device distributes and is arranged on the diverse location of far-end, or the concentrated position, a place that is arranged on.
Above-mentioned fore device is portable or fixed.
Connect by wireless network or cable network between above-mentioned fore device and the teleprocessing monitoring module.
A kind of method of utilizing distributed face identification system to carry out recognition of face on a large scale is characterized in that, comprises following steps:
Setting up network between step 1 teleprocessing monitoring module and the some fore devices is connected;
The acquisition module of step 3.1 man face image acquiring processing module is gathered human face image information and is carried out rough handling by its processing module, sends information to the information indicating module, sends treated human face image information to the second information sending/receiving module simultaneously;
Step 3.2 information indicating module display reminding information;
The step 3.3 second information sending/receiving module is sent to the teleprocessing monitoring module by network;
Step 4 teleprocessing monitoring module is discerned human face image information, and sends the fore device of corresponding process information to correspondence;
The human face image information that step 4.1 first information sending/receiving module receiving front-end device is sent, and transfer to message processing module;
Step 4.2 message processing module extracts human face image information, transfers to face recognition module;
Step 4.3 face recognition module is carried out recognition of face, feeds back to message processing module;
The information of step 4.4 message processing module after according to recognition of face is sent corresponding operating information to first information sending/receiving module;
Step 4.5 first information sending/receiving module is given corresponding fore device by network transmit operation information;
A kind of distributed face identification system of the present invention is compared with existing face identification system, its advantage is, the present invention is provided with fore device, and this fore device can be expanded and be provided with infinitely a plurality ofly, connects the teleprocessing monitoring module by network, in application, many when the point that needs recognition of face, distribute when relatively loosing again, do not need to be equipped with in addition identified server etc., as long as, effectively reduced cost at different local fore devices of arranging more;
Fore device of the present invention can be arranged on the diverse location of far-end, or concentrates and to be arranged on position, a place, can adjust the harvester of collection point and need not change miscellaneous equipment, and it is more flexible to distribute, and expands convenient;
Fore device of the present invention can expand be provided with infinitely a plurality of, the dirigibility and the extended capability that make the present invention have distributed system have enlarged the database of face characteristic simultaneously, make that the data that provide for recognition of face are abundanter, so improved the recognition of face rate, accuracy of identification also will increase.
Description of drawings
Fig. 1 is the overall module diagram of distributed face identification system of the present invention;
Fig. 2 is the module diagram of distributed face identification system of the present invention;
Fig. 3 carries out the method flow diagram of face identification method on a large scale for the present invention utilizes distributed face identification system.
Embodiment
Further specify embodiments of the invention below in conjunction with accompanying drawing.
As shown in Figure 1, distributed face identification system of the present invention comprises teleprocessing monitoring module 1, and several fore devices 2 that are connected by the Internet or ethernet network with this teleprocessing monitoring module 1 respectively, the network between fore device 2 and the teleprocessing monitoring module 1 can be set up by wireless network or cable network.Fore device 2, be used for gathering and extracting the facial image that suitable recognition of face is used, and human face image information sent to teleprocessing monitoring module 1, teleprocessing monitoring module 1 receives from fore device 2, and the facial image that receives is carried out recognition of face handle, feed back to corresponding fore device 2 according to result, fore device 2 receiving feedback informations are also made corresponding prompt.In the present invention, fore device 2 can be expanded and be provided with infinitely a plurality ofly, can be arranged on the diverse location of far-end, or concentrates and be arranged on position, a place, makes the present invention form distributed system.
As shown in Figure 2, fore device 2 is a kind of man face image acquiring device, this fore device 2 can be made as portable or fixed, when fore device 2 is to use in the place as the garden formula, can adopt fixed, distribute on a large scale and be installed on the room exterior wall at each family in the garden, as being the personnel that patrol and examine of garden or security personnel's use, can be with fore device 2 as portable use, carrying this fore device 2 by personnel of patrolling and examining or security personnel does not just fixedly mount a little, can be a lot of different, at a distance of distant place the suspicious figure is carried out recognition of face and detect, and the Internet by wireless connections or LAN (Local Area Network) are sent to teleprocessing monitoring module 1 and discern processing.Fore device 2 comprises information indicating module 21, and the man face image acquiring processing module 22 that is connected with the input end of this information indicating module 21 respectively and the second information sending/receiving module 23; Man face image acquiring processing module 22 comprises acquisition module and processing module, and wherein acquisition module includes camera; This man face image acquiring processing module 22 also is connected with the input end of the second information sending/receiving module 23, wherein the second information sending/receiving module 23 can pass through wired connection or wireless connections, connects to enter the Internet or Ethernet and teleprocessing monitoring module 1 and carry out information interaction.Fore device 2 is used for gathering facial image, gives teleprocessing monitoring module 1 transmission information and receiving remote information processing monitoring module 1 feedback information, makes corresponding prompting.
As shown in Figure 2, medium-long range information processing monitoring module 1 of the present invention comprises message processing module 11, and the first information sending/receiving module 12 and the face recognition module 13 that are connected with this message processing module 11 respectively, wherein first information sending/receiving module 12 can pass through wired connection or wireless connections, connect and enter the Internet or Ethernet and fore device 2 and carry out information interaction, this teleprocessing monitoring module 1 also is provided with display screen.Teleprocessing monitoring module 1, gather and preserve a large amount of facial images, face characteristic information in advance, receive facial image and processing instruction that a plurality of fore devices 2 send over then simultaneously, the information that corresponding fore device 2 sends is handled on request, and the result is sent to corresponding fore device 2.
Specify a kind of method of utilizing distributed face identification system to carry out recognition of face on a large scale below in conjunction with Fig. 3, it comprises following steps:
After step 3.1 man face image acquiring processing module 22 is gathered human face image information by its acquisition module, by processing module this information is carried out rough handling, from information, extract useful image, as the complete image of face characteristic, methods such as back utilization colour picture binaryzation change into the face characteristic data with facial image, and sending information to information indicating module 21, the human face image information after will handling simultaneously transfers to the second information sending/receiving module 23.
Step 3.2 information indicating module 21 is sent display reminding information, the information content for example: " please after a while, in the information processing ".
The step 3.3 second information sending/receiving module 23 is set the identifying information of this fore device 2, self-defined network packet, in the packet of information, set special flag, comprise some information in this flag as the IP address of this fore device 2, the network port, and this information is information or handle back information etc. before handling.Then the identifying information of the fore device 2 of human face image information and this collection human face image information is sent to the first information sending/receiving module 12 of teleprocessing monitoring module 1 by Ethernet or the Internet.
1 pair of human face image information of step 4 teleprocessing monitoring module is discerned, and sends the fore device 2 of corresponding process information to correspondence.
The human face image information that step 4.1 first information sending/receiving module 12 is sent by Ethernet receiving front-end device 2, and transfer to message processing module 11.
Step 4.2 message processing module 11 extracts human face image information, transfers to face recognition module 13.
Step 4.3 face recognition module 13 is carried out recognition of face, after face recognition module 13 receives human face image information, the beginning recognition of face, people's face in face characteristic and the existing recognition of face information bank is carried out aspect ratio to identification, when recognition of face, as to set similarity threshold be 0.85, has only this person's face feature and face database face characteristic comparison similarity so more than or equal to 0.85 o'clock, could determine that this person is exactly someone in the face database, finish comparison, if none can reach, then illustrating does not have this person in the face database, finish and finish recognition of face, and feed back to message processing module 11.
Step 4.4 message processing module 11 is made corresponding processing according to the information after the recognition of face, do a prompting for teleprocessing monitoring module 1, prompting monitor staff such as prompting screen by teleprocessing monitoring module 1, and with corresponding operating information: such as send after discerning, confirm this person for Whom, information such as physical resource, be issued to first information sending/receiving module 12.
Step 4.5 first information sending/receiving module 12 is given the fore device 2 of former transmission human face image information according to the identifying information that received the fore device 2 of information originally by Ethernet transmit operation information;
The second information sending/receiving module 23 of the corresponding fore device 2 of step 5 receives operation information by Ethernet, and this operation information is transferred to information indicating module 21, and information indicating module 21 is carried out corresponding prompt and shown, provides the required corresponding information of user.
Although content of the present invention has been done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to limitation of the present invention.After those skilled in the art have read foregoing, for multiple modification of the present invention with to substitute all will be conspicuous.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (10)
1. a distributed face identification system is characterized in that, this system comprises teleprocessing monitoring module (1), and passes through network plurality of front end devices (2) with described teleprocessing monitoring module (1) respectively.
2. distributed face identification system as claimed in claim 1, it is characterized in that, described teleprocessing monitoring module (1) comprises message processing module (11), and first information sending/receiving module (12) that is connected with described message processing module (11) respectively and face recognition module (13).
3. distributed face identification system as claimed in claim 1, it is characterized in that, described fore device (2) comprises information indicating module (21), and the man face image acquiring processing module (22) that is connected with the input end of described information indicating module (21) respectively and the second information sending/receiving module (23);
Described man face image acquiring processing module (22) comprises acquisition module and processing module; This man face image acquiring processing module (22) also is connected with the input end of the described second information sending/receiving module (23).
4. distributed face identification system as claimed in claim 1 is characterized in that, described fore device (2) expansion is provided with infinitely a plurality of.
5. distributed face identification system as claimed in claim 4 is characterized in that, described fore device (2) distributes and is arranged on the diverse location of far-end, or the concentrated position, a place that is arranged on.
6. distributed face identification system as claimed in claim 5 is characterized in that, described fore device (2) is portable or fixed.
7. distributed face identification system as claimed in claim 1 is characterized in that, connects by wireless network or cable network between described fore device (2) and the described teleprocessing monitoring module (1).
8. one kind is utilized distributed face identification system to carry out the method for recognition of face on a large scale, it is characterized in that, comprises following steps:
Setting up network between step 1 teleprocessing monitoring module (1) and the some fore devices (2) is connected;
The some human face image information of step 2 face recognition module (13) storage are as the recognition of face information bank;
Step 3 fore device (2) is gathered and is handled human face image information, and is sent to teleprocessing monitoring module (1) by network;
Step 4 teleprocessing monitoring module (1) is discerned human face image information, and sends the fore device (2) of corresponding process information to correspondence;
Step 5 fore device (2) is operated according to the process information that is received.
9. as described in claim 8, utilize distributed face identification system to carry out the method for recognition of face on a large scale, it is characterized in that described step 3 also comprises following steps:
The acquisition module of step 3.1 man face image acquiring processing module (22) is gathered human face image information and is carried out rough handling by its processing module, send information to information indicating module (21), send treated human face image information to the second information sending/receiving module (23) simultaneously;
Step 3.2 information indicating module (21) display reminding information;
The step 3.3 second information sending/receiving module (23) is sent to teleprocessing monitoring module (1) by network.
10. as described in claim 8, utilize distributed face identification system to carry out the method for recognition of face on a large scale, it is characterized in that described step 4 also comprises following steps:
The human face image information that step 4.1 first information sending/receiving module (12) receiving front-end device (2) is sent, and transfer to message processing module (11);
Step 4.2 message processing module (11) extracts human face image information, transfers to face recognition module (13);
Step 4.3 face recognition module (13) is carried out recognition of face, feeds back to message processing module (11);
Step 4.4 message processing module (11) sends corresponding operating information to first information sending/receiving module (12) according to the information after the recognition of face;
Step 4.5 first information sending/receiving module (12) is given corresponding fore device (2) by network transmit operation information.
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| CN102208015A (en) * | 2011-03-29 | 2011-10-05 | 上海洪剑智能科技有限公司 | Face identification system based on davinci platform and face identification method thereof |
| CN102903021A (en) * | 2011-07-28 | 2013-01-30 | 台湾色彩与影像科技股份有限公司 | Face identification network service method |
| CN106845355A (en) * | 2016-12-24 | 2017-06-13 | 深圳云天励飞技术有限公司 | A kind of method of recognition of face, server and system |
| CN106845356A (en) * | 2016-12-24 | 2017-06-13 | 深圳云天励飞技术有限公司 | A kind of method of recognition of face, client, server and system |
| CN106844492A (en) * | 2016-12-24 | 2017-06-13 | 深圳云天励飞技术有限公司 | A kind of method of recognition of face, client, server and system |
| CN106844298A (en) * | 2016-12-15 | 2017-06-13 | 北京航天测控技术有限公司 | A kind of identification method and device based on real-coded GA |
| WO2017128196A1 (en) * | 2016-01-28 | 2017-08-03 | 黄冠明 | Method and device for acquiring usage data of monitoring technology |
| CN107392178A (en) * | 2017-08-10 | 2017-11-24 | 广州杰之良软件有限公司 | Monitoring method and system |
| CN113362514A (en) * | 2021-05-31 | 2021-09-07 | 浙江大华技术股份有限公司 | Interface login method, first device, second device and verification system |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102208015A (en) * | 2011-03-29 | 2011-10-05 | 上海洪剑智能科技有限公司 | Face identification system based on davinci platform and face identification method thereof |
| CN102903021A (en) * | 2011-07-28 | 2013-01-30 | 台湾色彩与影像科技股份有限公司 | Face identification network service method |
| WO2017128196A1 (en) * | 2016-01-28 | 2017-08-03 | 黄冠明 | Method and device for acquiring usage data of monitoring technology |
| CN106844298A (en) * | 2016-12-15 | 2017-06-13 | 北京航天测控技术有限公司 | A kind of identification method and device based on real-coded GA |
| CN106845355A (en) * | 2016-12-24 | 2017-06-13 | 深圳云天励飞技术有限公司 | A kind of method of recognition of face, server and system |
| CN106845356A (en) * | 2016-12-24 | 2017-06-13 | 深圳云天励飞技术有限公司 | A kind of method of recognition of face, client, server and system |
| CN106844492A (en) * | 2016-12-24 | 2017-06-13 | 深圳云天励飞技术有限公司 | A kind of method of recognition of face, client, server and system |
| CN106845355B (en) * | 2016-12-24 | 2018-05-11 | 深圳云天励飞技术有限公司 | A kind of method of recognition of face, server and system |
| CN106845356B (en) * | 2016-12-24 | 2018-06-05 | 深圳云天励飞技术有限公司 | A kind of method of recognition of face, client, server and system |
| CN106844492B (en) * | 2016-12-24 | 2018-06-29 | 深圳云天励飞技术有限公司 | A kind of method of recognition of face, client, server and system |
| CN107392178A (en) * | 2017-08-10 | 2017-11-24 | 广州杰之良软件有限公司 | Monitoring method and system |
| CN113362514A (en) * | 2021-05-31 | 2021-09-07 | 浙江大华技术股份有限公司 | Interface login method, first device, second device and verification system |
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Application publication date: 20101013 |