CN101174298A - Scattered-point high-volume face recognition system and recognizing method thereof - Google Patents
Scattered-point high-volume face recognition system and recognizing method thereof Download PDFInfo
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- CN101174298A CN101174298A CNA2006101179067A CN200610117906A CN101174298A CN 101174298 A CN101174298 A CN 101174298A CN A2006101179067 A CNA2006101179067 A CN A2006101179067A CN 200610117906 A CN200610117906 A CN 200610117906A CN 101174298 A CN101174298 A CN 101174298A
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Abstract
The invention relates to a face identification system and method, comprising that a plurality of video cameras are arranged at various areas needed monitoring to shoot the images of passers-by; the facial features data of the passers-by can be acquired by analyzing the images under the help of a face collection and processing facility; then the facial features data is transmitted to a back-end server through network transmission and is compared with the facial features data of the target person stored in the monitoring object database to judge out if the screened person is the target person; the system will give warning if the screened person is the target person. The invention has an advantage that the invention helps security personnel realize the function of finding the target person in time at various scattered points and from large amount of data flow.
Description
Technical field
The present invention relates to a kind of face identification system and recognition methods, particularly a kind of numerous and position disperses, carries out the system and method that personnel deploy to ensure effective monitoring and control of illegal activities through the big area of personnel's flow in a position of deploying to ensure effective monitoring and control of illegal activities.
Background technology
Current a kind of current demand of social being, i.e. some distributed locations in certain geographic area, the stream of people of process is deployed to ensure effective monitoring and control of illegal activities immediately and judges whether that the object of particular attention given occurs, for example, to the public security industry, need judge whether that the suspicion personnel appear among the stream of people, and for commercial field, as bank, market etc., need to judge whether VIP honored guest is arranged in the stream of people of agency of numerous dispersions, so that better services can be provided.
Yet deploying to ensure effective monitoring and control of illegal activities for this class has following characteristics:
1, generally can not bother the stream of people or require personnel to cooperate, preferably can adopt to prevent that the mode that is noted from discerning.
2, every day, flow of the people was bigger, and the rarer comparatively speaking repetition of the stream of people; That is to say the big and continual renovation of the crowd's quantity that to discern.
3, the perpetual object target that needs identification negligible amounts comparatively speaking, and can be said to be stable relatively.
4, need the point of covering many, and the geographic position disperse.
5, the real-time of identification requires height, and particularly public security industry requires prompt alarm rapidly.
Although recognition of face at present is compared with other biometrics identification technology, only need camera alignment people face, the personnel that need not be taken painstakingly cooperate, and it also can support the needs of a large amount of comparisons, but in the processing links of recognition of face, people's face detects, feature modeling consuming time many, therefore, how the system that deploys to ensure effective monitoring and control of illegal activities that satisfies above-mentioned requirements is provided and avoids that the shortcoming of prior art is real to have become the technical task that this area needs to be resolved hurrily.
Summary of the invention
The object of the present invention is to provide a kind of face identification system and recognition methods of scattered-point high-volume, to realize from finding out the function of target person in the middle of the stream of people of a position, big flow is deployed to ensure effective monitoring and control of illegal activities in numerous dispersions in real time.
In order to achieve the above object, the invention provides a kind of face identification system of scattered-point high-volume, it comprises: the object database of deploying to ensure effective monitoring and control of illegal activities that is used for storing in advance the face feature data of one or more target persons; Be separately positioned on the spaced point position of zones of different, be used to take a plurality of video cameras through the personnel's of respective regions image; Insert the vision signal that corresponding video camera is taken respectively, be used for the personnel's that gather from described vision signal face feature data, and have people's face data acquisition equipment of networking transmitting function; Be connected in order to transmit the transmission network of its face feature data of gathering with described people's face collecting device; And and these data and the face feature data of the target person in the object database of deploying to ensure effective monitoring and control of illegal activities are compared, whether the comparison server of target person is arranged among the personnel that are taken with judgement.
Wherein, described people's face data acquisition equipment is an embedded device or based on the equipment of PC integrated circuit board independently, in addition, the described personnel system that deploys to ensure effective monitoring and control of illegal activities also comprises one in order to deploy to ensure effective monitoring and control of illegal activities object database and judge when the comparison server and to send the management system of caution when among the personnel that are taken target person being arranged of management.
The present invention also provides a kind of face identification method of scattered-point high-volume, and it comprises step: 1) set up an object database of deploying to ensure effective monitoring and control of illegal activities that stores the face feature data of one or more target persons in advance; 2) personnel's of the zones of different of shooting process respectively image; 3) gather the face feature data of captured personnel's image; 4) transmit the face feature data of being gathered; 5) receive the face feature data be sent to, and the face feature data of the target person of these data and storage are compared, among the personnel that are taken with judgement whether target person is arranged.
Wherein, comprise also that after described step 5) step 6) sends caution when having judged target person.
In sum, the face identification system of scattered-point high-volume of the present invention and recognition methods are deployed to ensure effective monitoring and control of illegal activities to the personnel of process by video camera is set in a plurality of zones, and personnel's face feature data of taking are delivered to server compare to determine whether the zone of being deployed to ensure effective monitoring and control of illegal activities has target person to occur, be implemented in the collection that numerous spaced points carry out the face characteristic data, the comparison server that is sent to the rear end by communication network is to continue the carrying out recognition of face comparison at a high speed, and can when finding target person, send caution in real time, handle for the related personnel.
Description of drawings
Fig. 1 is the basic framework synoptic diagram of the face identification system of scattered-point high-volume of the present invention.
Embodiment
See also Fig. 1, the face identification system of scattered-point high-volume of the present invention comprises: the object database of deploying to ensure effective monitoring and control of illegal activities, a plurality of video camera, a plurality of people's face data acquisition equipment, transmission network, comparison server and management system below will be described in detail aforesaid each assembly.
The described object database of deploying to ensure effective monitoring and control of illegal activities is used for storing in advance the face feature data of one or more target persons, for example, the described object database of deploying to ensure effective monitoring and control of illegal activities can be stored one or more suspects' face feature data in advance by the public security officer, also can store its honored guest's face feature data by bank or market staff in advance, in the present embodiment, the described object database of deploying to ensure effective monitoring and control of illegal activities is set up by management system, it is arranged in the described data memory device, described management system can be upgraded this database, in addition in actual applications, the described object database of deploying to ensure effective monitoring and control of illegal activities also can be used for storing other data, the identity of target person for example, whole figure and features feature etc.
A plurality of video cameras are separately positioned on zones of different, be used to take image through the personnel of respective regions, for example, the public security officer installs video camera to take the image through these regional personnel in each zone that suspect may come in and go out, perhaps the staff in bank or market is provided with video camera enters the personnel in bank or market in order to shooting image in import and export or sales counter place, only need each camera alignment people face, the personnel that need not be taken painstakingly cooperate, and video camera itself can hiddenly install, and avoids noticeable.
Described a plurality of people's face data acquisition equipment is in order to gather the face feature data of the personnel's image that is absorbed, it can be embedded device independently or based on the equipment of PC integrated circuit board, for avoiding people's face to detect, feature modeling consuming time more, adopt recognizer that digital signal processing (DSP) and CPU platform are all optimized in advance, to raise the efficiency, consider the facility of field conduct simultaneously, described a plurality of people's face data acquisition equipment can adopt small-sized embedded collecting device, even also can adopt embedded acquisition module is integrated in other Internet video treatment facilities such as video encoder, to realize the cooperation of industry manufacturer, in the present embodiment, each video camera all is equipped with corresponding people's face data acquisition equipment to gather the face characteristic data respectively, avoided the computational load of flood tide to be pooled to central server, thereby can satisfy the demand of a large amount of comparisons in the mode of less expensive, in addition, according to the processing power of corresponding people's face data acquisition equipment, also can be connected with the multiple cameras that closes on by people's face data acquisition equipment.
Described transmission network is in order to transmit the face feature data of being gathered, usually transmission network can adopt in wired or wireless mode and insert the public communication network of telecommunications, Netcom etc. to transmit data, owing to be not the information that transmits the whole video picture, and be to transmit the people's face information that is collected, it needs data quantity transmitted (every part data magnitude is about 10KB), be tens of even hundreds of/one of video, it takies the network bandwidth seldom, and the pressure of handling and storing is little a lot of than video.
Described comparison server is in order to receive the face feature data that transmission network is sent to, and these data and the face feature data that are stored in the target person of the object database of deploying to ensure effective monitoring and control of illegal activities are compared, among the personnel that are taken with judgement whether target person is arranged, promptly comparing server when people's face compares the data in the face feature data that receive and the object database of deploying to ensure effective monitoring and control of illegal activities, when both identical or close degree are high, think that the corresponding personnel that are taken are target person, compare the server operation ability, how many influences on server comparison speed of perpetual object are little; Even the service needed that immediate updating is arranged and enable perpetual object also realizes on the system architecture easily.
Send caution when management system has target person in order to judge when the comparison server among the personnel that are taken, in the present embodiment, described management system is informed the related personnel in modes such as alarm or eye-catching diagrams, so that the related personnel can carry out respective handling fast.In the warning message that management system is received, wherein comprised the details such as the relevant object of deploying to ensure effective monitoring and control of illegal activities that place, passage, photo acquisition time, human face photo, the comparison at caution personnel places are hit, be convenient to record and offer operating personnel check and handle.
The face identification method of scattered-point high-volume of the present invention mainly carries out according to the following steps:
1) set up an object database of deploying to ensure effective monitoring and control of illegal activities that stores the face feature data of one or more target persons in advance, in the present embodiment, the object database of deploying to ensure effective monitoring and control of illegal activities is set up by management system, and it also can upgrade database according to actual conditions.
2) shooting is for example taken the personnel's image through railway station ticketing inlet, waiting hall through the personnel's of zones of different image respectively.
3) gather the face feature data of captured personnel's image, the method for collection is familiar with by those skilled in the art, does not repeat them here.
4) transmit the face feature data of being gathered, can adopt communication network to carry out data and transmit.
5) receive the face feature data that are sent to, and the face feature data of the target person of these data and storage are compared, whether target person is arranged in the present embodiment among the personnel that are taken with judgement, the comparison of face characteristic data is undertaken by the comparison server.
6) when having judged target person, reminded, promptly to compare out captured personnel's face feature identical or very approximate with the face feature of target person when the comparison server, then management system is sent caution, and the related personnel carries out respective handling according to this alarm signal.
In sum, the face identification system of scattered-point high-volume of the present invention and recognition methods are by installing video camera to take the image through the personnel of respective regions in zones of different, and this image analyzed to obtain its face data, the face feature data of these face feature data and target person are compared to judge whether captured personnel are target person, and give and corresponding prompt according to judged result, realized in the middle of the stream of people of big flow, searching out the function of target person, compared to prior art, the face identification system of scattered-point high-volume of the present invention can be finished at numerous spaced points people's face collection point has been installed, be connected to the comparison server zone of rear end by communication network, carry out the stream of people's recognition of face comparison constantly at high speed, and can send caution to service-user in real time, for its processing.
For industries such as public security, application model of the present invention can satisfy it preferably to spaced point major pedestrian movement's the warning demand of deploying to ensure effective monitoring and control of illegal activities in real time on a large scale, also is fit to be generalized to fields such as the user of commercial enterprise.
Claims (5)
1. the face identification system of a scattered-point high-volume is characterized in that comprising:
The object database of deploying to ensure effective monitoring and control of illegal activities is used to store the face feature data of one or more target persons;
A plurality of video cameras are separately positioned on the spaced point position of zones of different, are used to take the image through the personnel of respective regions;
A plurality of people's face collecting devices insert the vision signal that corresponding video camera is taken respectively, are used for the personnel's that gather from described vision signal face feature data, and have the networking transmitting function;
Transmission network is connected with described people's face collecting device, in order to transmit the face feature data that it is gathered;
The comparison server receives the face feature data send, and the face feature data of the target person in these data and the object database of deploying to ensure effective monitoring and control of illegal activities are compared, and among the personnel that are taken with judgement whether target person is arranged.
2. the face identification system of scattered-point high-volume as claimed in claim 1 is characterized in that: described people's face data acquisition equipment is for embedded device independently or based on the equipment of PC integrated circuit board.
3. the face identification system of scattered-point high-volume as claimed in claim 1 is characterized in that also comprising: management system, and in order to deploy to ensure effective monitoring and control of illegal activities object database and judge when the comparison server and to send caution when among the personnel that are taken target person being arranged of management.
4. the face identification method of a scattered-point high-volume is characterized in that may further comprise the steps:
1) sets up one in advance and store several object databases of deploying to ensure effective monitoring and control of illegal activities based on the face feature data of target person;
2) personnel's of the zones of different of shooting process respectively image on a position of deploying to ensure effective monitoring and control of illegal activities of numerous dispersions;
3) gather the face feature data of captured personnel's image in real time;
4) transmit the face feature data of being gathered;
5) receive the face feature data be sent to, and the face feature data of the target person of these data and storage are compared, among the personnel that are taken with judgement whether target person is arranged.
5. the face identification method of scattered-point high-volume as claimed in claim 4 is characterized in that: also comprise after described step 5) and judge the caution step of sending caution when among the personnel that are taken target person being arranged.
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| Application Number | Priority Date | Filing Date | Title |
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| CNA2006101179067A CN101174298A (en) | 2006-11-02 | 2006-11-02 | Scattered-point high-volume face recognition system and recognizing method thereof |
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| CNA2006101179067A CN101174298A (en) | 2006-11-02 | 2006-11-02 | Scattered-point high-volume face recognition system and recognizing method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102096950A (en) * | 2010-12-10 | 2011-06-15 | 汉王科技股份有限公司 | Face recognition device and recognition method for ticketing system |
| CN102254169A (en) * | 2011-08-23 | 2011-11-23 | 东北大学秦皇岛分校 | Multi-camera-based face recognition method and multi-camera-based face recognition system |
| CN102521578A (en) * | 2011-12-19 | 2012-06-27 | 中山爱科数字科技股份有限公司 | Method for detecting and identifying intrusion |
| CN102665054A (en) * | 2012-05-10 | 2012-09-12 | 江苏友上科技实业有限公司 | Network video recorder system for fast face retrieval |
| CN102930243A (en) * | 2012-09-18 | 2013-02-13 | 深圳市中联创新自控系统有限公司 | Method and system for identifying facial information of special personnel |
| CN103220502A (en) * | 2013-03-26 | 2013-07-24 | 苏州福丰科技有限公司 | Digital signal processor (DSP) embedded type video face collection network server |
| WO2015143580A1 (en) * | 2014-03-28 | 2015-10-01 | Huawei Technologies Co., Ltd | Method and system for verifying facial data |
| CN105426880A (en) * | 2015-12-24 | 2016-03-23 | 中国建设银行股份有限公司 | Face recognition method and system applied to bank business processing |
| CN106128028A (en) * | 2016-07-21 | 2016-11-16 | 深圳奇迹智慧网络有限公司 | A kind of artificial abortion's method for early warning based on MAC code and recognition of face |
| CN106156688A (en) * | 2015-03-10 | 2016-11-23 | 上海骏聿数码科技有限公司 | A kind of dynamic human face recognition methods and system |
| CN106650589A (en) * | 2016-09-30 | 2017-05-10 | 北京旷视科技有限公司 | Real-time face recognition system and method |
| CN106682612A (en) * | 2016-12-26 | 2017-05-17 | 宇龙计算机通信科技(深圳)有限公司 | Alarming method based on image recognition, terminal, server and system |
| CN106791636A (en) * | 2016-12-15 | 2017-05-31 | 重庆凯泽科技股份有限公司 | A kind of key population monitoring system and method |
| 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 |
| CN107590488A (en) * | 2017-10-27 | 2018-01-16 | 广州市浩翔计算机科技有限公司 | The face identification system that a kind of split-type quickly identifies |
| CN108009489A (en) * | 2017-11-29 | 2018-05-08 | 合肥寰景信息技术有限公司 | Face for mass data is deployed to ensure effective monitoring and control of illegal activities analysis system |
| CN108629721A (en) * | 2018-04-02 | 2018-10-09 | 杭州孚立计算机软件有限公司 | A kind of comprehensive improvement brain processing method |
| CN109583278A (en) * | 2017-09-29 | 2019-04-05 | 杭州海康威视数字技术股份有限公司 | Method, apparatus, system and the computer equipment of recognition of face alarm |
| WO2019095221A1 (en) * | 2017-11-16 | 2019-05-23 | 深圳前海达闼云端智能科技有限公司 | Method for searching for person, apparatus, terminal and cloud server |
| CN110490999A (en) * | 2019-05-30 | 2019-11-22 | 福建知鱼科技有限公司 | A kind of noninductive VIP is to shop system for prompting and method |
| CN113256924A (en) * | 2020-02-12 | 2021-08-13 | 中车唐山机车车辆有限公司 | Monitoring system, monitoring method and monitoring device for rail train |
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2006
- 2006-11-02 CN CNA2006101179067A patent/CN101174298A/en active Pending
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102096950A (en) * | 2010-12-10 | 2011-06-15 | 汉王科技股份有限公司 | Face recognition device and recognition method for ticketing system |
| CN102254169A (en) * | 2011-08-23 | 2011-11-23 | 东北大学秦皇岛分校 | Multi-camera-based face recognition method and multi-camera-based face recognition system |
| CN102254169B (en) * | 2011-08-23 | 2012-08-22 | 东北大学秦皇岛分校 | Multi-camera-based face recognition method and multi-camera-based face recognition system |
| CN102521578B (en) * | 2011-12-19 | 2013-10-30 | 中山爱科数字科技股份有限公司 | Method for detecting and identifying intrusion |
| CN102521578A (en) * | 2011-12-19 | 2012-06-27 | 中山爱科数字科技股份有限公司 | Method for detecting and identifying intrusion |
| CN102665054A (en) * | 2012-05-10 | 2012-09-12 | 江苏友上科技实业有限公司 | Network video recorder system for fast face retrieval |
| CN102930243A (en) * | 2012-09-18 | 2013-02-13 | 深圳市中联创新自控系统有限公司 | Method and system for identifying facial information of special personnel |
| CN103220502A (en) * | 2013-03-26 | 2013-07-24 | 苏州福丰科技有限公司 | Digital signal processor (DSP) embedded type video face collection network server |
| WO2015143580A1 (en) * | 2014-03-28 | 2015-10-01 | Huawei Technologies Co., Ltd | Method and system for verifying facial data |
| US10339177B2 (en) | 2014-03-28 | 2019-07-02 | Huawei Technologies Co., Ltd. | Method and a system for verifying facial data |
| CN106156688A (en) * | 2015-03-10 | 2016-11-23 | 上海骏聿数码科技有限公司 | A kind of dynamic human face recognition methods and system |
| CN105426880A (en) * | 2015-12-24 | 2016-03-23 | 中国建设银行股份有限公司 | Face recognition method and system applied to bank business processing |
| CN106128028A (en) * | 2016-07-21 | 2016-11-16 | 深圳奇迹智慧网络有限公司 | A kind of artificial abortion's method for early warning based on MAC code and recognition of face |
| CN106650589A (en) * | 2016-09-30 | 2017-05-10 | 北京旷视科技有限公司 | Real-time face recognition system and method |
| CN106791636A (en) * | 2016-12-15 | 2017-05-31 | 重庆凯泽科技股份有限公司 | A kind of key population monitoring system and method |
| 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 |
| 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 |
| CN106682612A (en) * | 2016-12-26 | 2017-05-17 | 宇龙计算机通信科技(深圳)有限公司 | Alarming method based on image recognition, terminal, server and system |
| CN109583278A (en) * | 2017-09-29 | 2019-04-05 | 杭州海康威视数字技术股份有限公司 | Method, apparatus, system and the computer equipment of recognition of face alarm |
| CN107590488A (en) * | 2017-10-27 | 2018-01-16 | 广州市浩翔计算机科技有限公司 | The face identification system that a kind of split-type quickly identifies |
| WO2019095221A1 (en) * | 2017-11-16 | 2019-05-23 | 深圳前海达闼云端智能科技有限公司 | Method for searching for person, apparatus, terminal and cloud server |
| CN108009489A (en) * | 2017-11-29 | 2018-05-08 | 合肥寰景信息技术有限公司 | Face for mass data is deployed to ensure effective monitoring and control of illegal activities analysis system |
| CN108629721A (en) * | 2018-04-02 | 2018-10-09 | 杭州孚立计算机软件有限公司 | A kind of comprehensive improvement brain processing method |
| CN110490999A (en) * | 2019-05-30 | 2019-11-22 | 福建知鱼科技有限公司 | A kind of noninductive VIP is to shop system for prompting and method |
| CN113256924A (en) * | 2020-02-12 | 2021-08-13 | 中车唐山机车车辆有限公司 | Monitoring system, monitoring method and monitoring device for rail train |
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