CN106778556A - Intelligent identity identification system based on dynamic human face identification and Gait Recognition fusion - Google Patents

Intelligent identity identification system based on dynamic human face identification and Gait Recognition fusion Download PDF

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Publication number
CN106778556A
CN106778556A CN201611091654.5A CN201611091654A CN106778556A CN 106778556 A CN106778556 A CN 106778556A CN 201611091654 A CN201611091654 A CN 201611091654A CN 106778556 A CN106778556 A CN 106778556A
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China
Prior art keywords
gait
face
acquisition module
identification system
identity identification
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CN201611091654.5A
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Chinese (zh)
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不公告发明人
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Dalian Yinte Visual Intelligent Sensing Technology Co Ltd
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Dalian Yinte Visual Intelligent Sensing Technology Co Ltd
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Priority to CN201611091654.5A priority Critical patent/CN106778556A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • G06V40/23Recognition of whole body movements, e.g. for sport training
    • G06V40/25Recognition of walking or running movements, e.g. gait recognition

Abstract

The invention discloses a kind of intelligent identity identification system based on dynamic human face identification and Gait Recognition fusion, including:At least one dynamic human face acquisition module, for gathering by the face feature data of the personnel of intelligent identity identification system;At least one gait acquisition module, the gait feature data of personnel are recognized for gathering by smart identity;And data processing unit, for the face and gait information in face feature data and gait feature data and the database for pre-building to be compared to generate recognition result, wherein, when specified face and the similarity of gait information in recognition result display face feature data and gait feature data and database exceed predetermined threshold, then the recognition result be confirmed as can matching result, and the recognition result is sent to operating personnel.Intelligent identity identification system of the invention has merged dynamic human face identification and Gait Recognition, so as to improve the precision of identification and the convenience of application.

Description

Intelligent identity identification system based on dynamic human face identification and Gait Recognition fusion
Technical field
It is particularly a kind of to be melted based on dynamic human face identification and Gait Recognition the present invention relates to personnel channel's safe examination system The intelligent identity identification system of conjunction.
Background technology
Current detector gate (such as detector gate on airport) contributes to detect metal, dangerous goods special article Equipment, also recognizes the rays safety detection apparatus of personal information without automatic data collection.And gather, recognize personal information, it is typically artificial at present Compare or be identified comparing using computer software indirect labor.Identification checkup, knowledge method for distinguishing are carried out by artificial, easily Because of individual difference and caused by wrong identification, larger potential safety hazard is caused, to the larger threat of the people's lives and property security presence.
In recent years, it is also proposed that face recognition carries out " brush face " or the equipment for carrying out fingerprint recognition.However, such body The special collector of part confirmation method requirement enters row information contrast so that the operating process of identity validation is slow, it is less efficient under.
The content of the invention
To overcome above mentioned problem and other technical problems to be resolved, the present invention is made that.
It is an object of the present invention to provide quick, efficient, the accurate intelligent identity identification system of one kind, its fusion Dynamic human face is recognized and Gait Recognition, so as to improve the precision of identification and the convenience of application.
A kind of identity is carried out under the consciousness that identified personnel are not monitored another object of the present invention is to provide The intelligent identity identification system of confirmation, on the one hand the process of identification is without the docking station for specially gathering pedestrian information, another aspect The passage for configuring said system keeps consistent with common passage outward appearance as far as possible.
According to an aspect of this disclosure, there is provided a kind of intelligent body based on dynamic human face identification and Gait Recognition fusion Part identifying system, including:
At least one dynamic human face acquisition module, for gathering the face feature by the personnel of intelligent identity identification system Data;
At least one gait acquisition module, for gathering by the gait feature number of the personnel of intelligent identity identification system According to;With
Data processing unit, for the face feature data for collecting dynamic human face acquisition module and gait acquisition module It is compared to generate recognition result with the face and gait information in gait feature data and the database for pre-building,
Wherein, in the recognition result shows the face feature data and the gait feature data and database When specifying the similarity of face and gait information to exceed predetermined threshold, then the recognition result be confirmed as can matching result, and And the recognition result is sent to operating personnel.
Due to the system present invention employs dynamic human face identification and Gait Recognition fusion, therefore, the present invention can be with more Precision high carries out identification to personnel, while improve the efficiency of personal identification.
Preferably, intelligent identity identification system of the invention provides walking and enters target in the form of security check passage as pedestrian The passage in place, passage can individually be set up or be blended with common building thing passage.Pedestrian is wherein by being not easy to feel Examine out and be monitored and identified.It is another because the process of one side identification is without the docking station for specially gathering pedestrian information Aspect system be arranged on pedestrian towards target place the only way which must be passed on and also passage keep as far as possible and common passage outward appearance Unanimously.Therefore, identifying system of the invention can carry out identification under the consciousness that identified personnel are not monitored, so that The sense of discomfort of identified personnel is slow down, while identified personnel can be avoided deliberately to escape in a variety of ways and influence positive general knowledge Not.Further, reduced in identification need special collection information and have to stop in passage or acquisition station other recognized Journey, such as fingerprint recognition, iris recognition, " brush face " etc., so improve the efficiency of identification.
Preferably, dynamic human face acquisition module and gait acquisition module simultaneously or in succession to face feature data and Gait feature data are acquired.
In one embodiment, be created as face feature data and gait feature data by data processing unit of the invention Unified model on pedestrian, and the unified model is compared with the information in database.
In another embodiment, data processing unit of the invention respectively builds face feature data and gait feature data Two single models are found into, the face and gait information in this two single models and database are compared to obtain Two comparative results, and two comparative results are merged to draw final recognition result.
Preferably, dynamic human face acquisition module and gait acquisition module are respectively to include the image sequence of at least one camera Row collecting device.
Preferably, dynamic human face acquisition module is arranged on the top of security check passage, and gait acquisition module is arranged on peace Examine the side of passage.
It is highly preferred that set at the opposite side relative with the side residing for gait acquisition module of security check passage having powerful connections Pattern.Being provided with for background patterns carries out more accurate identification to the side gait of pedestrian beneficial to gait acquisition module.
The database is emphasis population storehouse, fugitive personnel storehouse, major suspect involved in crimes storehouse or the specific spy for pre-establishing Levy database.Preferably, be confirmed as can matching result the face feature data and the gait feature data stored In the database for subsequent identification.
Preferably, controllable type gate and alarm device are arranged on outlet or the end of security check passage, wherein, work as identification Result be confirmed as can matching result when, controllable type gate is remained turned-off, and alarm device is activated.
Brief description of the drawings
Accompanying drawing shows preferred embodiment of the present disclosure, and is used to provide the technology of the disclosure together with foregoing disclose Spirit further understands.However, the disclosure should not be construed as being limited to the embodiment shown in accompanying drawing.
Fig. 1 is the illustrative diagram of intelligent identity identification system according to an embodiment of the invention.
Fig. 2 shows face according to an embodiment of the invention and gait data process chart.
Fig. 3 shows face according to another embodiment of the present invention and gait data process chart.
Specific embodiment
Hereinafter, preferred embodiment of the present disclosure will be described in detail with reference to the attached drawings.Before described, it should be appreciated that It is that the term used in this description and in the appended claims should not be construed as being limited to general and dictionary Implication, but explained based on implication corresponding with the technical elements of the disclosure and concept, the implication and concept are allowing Inventor suitably defines based on the principle of term for best explanation.
Additionally, description presented herein is only for the preferred example of illustration purpose, without being intended to limit this public affairs The scope opened, it will thus be appreciated that can be right in the case where spirit and scope of the present disclosure when submitting the application are not departed from It carries out other equivalent and changes.
Intelligent identity identification system of the invention can be applied to various occasions, such as airport, railway station, subway The security check passage stood, for the identity authorization system of bank, for the admission Verification System in examination hall, for government offices, army Deng secret unit it is medium.Fig. 1 is the illustrative diagram of intelligent identity identification system according to an embodiment of the invention, its Middle intelligent identity identification system is configured to the form (hereinafter referred to as security check passage 1) of passage.But, smart identity of the invention Identifying system can be configured to diversified forms, be not limited solely to this.For example, intelligent identity identification system of the invention can be with root Matched with the occasion in the form of being adapted to according to the occasion applied.
With reference to Fig. 1, security check passage 1 can include at least one dynamic human face acquisition module 3, at least one gait collection mould Block 4 and data processing unit 7.Dynamic human face acquisition module 3 and gait acquisition module 4 are respectively used to collection by security check passage 1 Personnel face feature and gait feature.Dynamic human face acquisition module 3 and gait acquisition module 4 can simultaneously or successively Ground is acquired to face feature and gait feature.The face gathered by dynamic human face acquisition module 3 and gait acquisition module 4 The data of feature and gait feature are transferred to data processing unit 7 to carry out subsequent treatment.Security check passage 1 generally has 4-6 The length of rice, it is also possible to adjust its length as needed.
Dynamic human face acquisition module 3 includes the video camera for being acquired to human face data, and gait acquisition module 4 Including the video camera for being acquired to gait data.For can to the video camera that human face data and gait data are acquired To be different, and any appropriate video camera well known in the prior art can be used.Preferably, this data acquisition is real When.According to circumstances, above-mentioned collection can also be by the way of batch (-type) collection.
Preferably, dynamic human face acquisition module 3 and gait acquisition module 4 further include secondary light source respectively, for example before Scape light source 5, to obtain optimal video data and ensure image recognition rate.
Fig. 1 is referred again to, dynamic human face acquisition module 3 is arranged on the upside of security check passage 1, in order to through safety check The face of the pedestrian of passage 1 is tracked and catches and obtain image.Gait acquisition module 4 is arranged on the side of passage (preferably It is both sides) in, the motion morphology of people's body side surface is acquired during in order to being walked through the pedestrian of security check passage 1.However, root According to actual demand, the set location of dynamic human face acquisition module 3 and gait acquisition module 4 can change.
Preferably, background patterns 6 are provided with the opposite side relative with the side residing for gait acquisition module 4, these Background patterns 6 are conducive to more accurately gathering the data on gait feature.
Preferably, security check passage 1 is also provided with controllable type gate 2 and alarm device 8, and they are arranged on security check passage 1 outlet or end.
It is further preferred that security check passage 1 for pedestrian provide walking into target place passage, passage can individually set up or Person blends with common building thing passage, and with consistent outward appearance, so as to avoid pedestrian from being produced when by security check passage 1 Sense of discomfort, while being easy to gather face and gait feature data in more hidden mode.
Above-mentioned security check passage 1 of the invention is operated as follows:When pedestrian passes through security check passage 1, dynamic people The face feature data that face acquisition module 3 passes through camera acquisition pedestrian, gait acquisition module 4 is special by camera acquisition gait Levy data, these characteristics are transferred to data processing unit 7 and are analyzed, the data after then processing with pre-build Face and gait data storehouse are matched and are generated recognition result.In whole detection process, pedestrian can pass through safety check without pausing Passage, greatly increase identification checkup, identification, search can suspect efficiency.
Data similarity in recognition result shows detected face and gait feature and database exceedes predetermined During threshold value, it is determined that the personnel of current identification have suspicion, and the recognition result is transmitted to safety inspector.Preferably, now, it is controllable Formula gate 2 will be remained turned-off, and alarm device 8 starts to notify safety inspector.
Fig. 2 shows face according to an embodiment of the invention and gait data process chart.
With reference to Fig. 2, system gathers dynamic human face data and gait data respectively;Data processing unit 7 is to dynamic human face number Sequence analysis is carried out according to gait data;Human face data and gait data by analysis be created as face on pedestrian and Gait unified model;Unified model is carried out into contrast with the dynamic human face and gait data storehouse that pre-build to match;Draw final Recognition result.Herein it should be noted that the data of the face crossed of collection analysis and gait can be as database purchase Subsequent analysis and it is perfect, update the data storehouse and lay the foundation.
Fig. 3 shows face according to another embodiment of the present invention and gait data process chart.
Compared with the flow chart of data processing shown in Fig. 2, flow chart of data processing shown in Fig. 3 is by human face data and gait data It is respectively established, and comparing result respectively is fused to form final recognition result.Specifically, acquisition module difference Gather the dynamic human face data and gait data of pedestrian;Data processing unit 7 is to dynamic human face data and gait data in data Carry out sequence analysis;Human face data and gait data by analysis is separately created as faceform and gait mould Type;Faceform and gait pattern are carried out into contrast with the dynamic human face and gait data storehouse that pre-build respectively to match;Face Comparing result is fused to draw final recognition result with gait comparing result.
Although disclosing exemplary embodiment of the invention for illustrative purposes, those skilled in the art will Recognize, in the case where the spirit and scope of the present invention as disclosed in appended claims are not departed from, various modifications, Addition and replacement are possible.

Claims (9)

1. it is a kind of that the intelligent identity identification system merged with Gait Recognition is recognized based on dynamic human face, it is characterised in that including:
At least one dynamic human face acquisition module, the face feature for gathering the personnel by the intelligent identity identification system Data;
At least one gait acquisition module, for gathering by the gait feature number of the personnel of the intelligent identity identification system According to;With
Data processing unit, for the face for collecting the dynamic human face acquisition module and the gait acquisition module Face and gait information in characteristic and the gait feature data and the database for pre-building are compared to generate Recognition result,
Wherein, specifying in the recognition result shows the face feature data and the gait feature data and database The similarity of face and gait information exceed predetermined threshold when, then the recognition result be confirmed as can matching result, and will The recognition result is sent to operating personnel.
2. intelligent identity identification system according to claim 1, it is characterised in that the intelligent identity identification system is pacifying The form of passage is examined for pedestrian provides the passage that walking enters target place, the security check passage is independent set up or with commonly build Build thing passage to blend, so as to pedestrian walks to be not easy to perceive wherein be monitored and identified.
3. intelligent identity identification system according to claim 1, it is characterised in that the dynamic human face acquisition module and institute State gait acquisition module and simultaneously or in succession face feature data and gait feature data are acquired.
4. intelligent identity identification system according to claim 1, it is characterised in that the data processing unit is by the face Portion's characteristic and the gait feature data are created as unified model or are respectively established, and by the model with it is described Information in database is compared.
5. intelligent identity identification system according to claim 1, it is characterised in that the dynamic human face acquisition module and institute It is respectively to include the image sequence acquisition equipment of at least one camera to state gait acquisition module.
6. intelligent identity identification system according to claim 2, it is characterised in that the dynamic human face acquisition module is set In the top of the security check passage, and the gait acquisition module is arranged on the side of the security check passage.
7. intelligent identity identification system according to claim 6, it is characterised in that in the security check passage and the step Background patterns are provided with the relative opposite side in side residing for state acquisition module.
8. intelligent identity identification system according to claim 1, it is characterised in that the database be emphasis population storehouse, Fugitive personnel storehouse, major suspect involved in crimes storehouse or the specific feature data storehouse for pre-establishing, and
Wherein, be confirmed as it is described can matching result the face feature data and the gait feature data be stored in institute State in database for subsequent identification.
9. intelligent identity identification system according to claim 2, it is characterised in that controllable type gate and alarm device are set Put the outlet in the security check passage or end, wherein, when the recognition result be confirmed as can matching result when, it is described can Control formula gate is remained turned-off, and the alarm device is activated.
CN201611091654.5A 2016-12-01 2016-12-01 Intelligent identity identification system based on dynamic human face identification and Gait Recognition fusion Pending CN106778556A (en)

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Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107918771A (en) * 2017-12-07 2018-04-17 河北工业大学 Character recognition method and Worn type person recognition system
CN108319930A (en) * 2018-03-09 2018-07-24 百度在线网络技术(北京)有限公司 Identity identifying method, system, terminal and computer readable storage medium
CN108600627A (en) * 2018-04-25 2018-09-28 东莞职业技术学院 A kind of Intelligent campus processing system for video
CN109255303A (en) * 2018-08-16 2019-01-22 南京西三艾电子系统工程有限公司 A kind of face identification system and method for the dynamic stream of people
CN109447199A (en) * 2018-10-16 2019-03-08 山东大学 A kind of multi-modal criminal's recognition methods and system based on step information
CN109465819A (en) * 2017-09-08 2019-03-15 株式会社日立大厦系统 Human body recognition system and human body recognition method
CN109492595A (en) * 2018-11-19 2019-03-19 浙江传媒学院 Behavior prediction method and system suitable for fixed group
CN109634981A (en) * 2018-12-11 2019-04-16 银河水滴科技(北京)有限公司 A kind of database expansion method and device
CN109739144A (en) * 2019-01-21 2019-05-10 常州方可为机械科技有限公司 Intelligent drive device for gate
CN109920111A (en) * 2019-03-05 2019-06-21 杭州电子科技大学 A kind of access control system of recognition of face and Gait Recognition fusion
CN110135240A (en) * 2019-03-27 2019-08-16 苏州书客贝塔软件科技有限公司 A kind of pedestrian's analysis intelligent analysis system based on computer vision
CN110147712A (en) * 2019-03-27 2019-08-20 苏州书客贝塔软件科技有限公司 A kind of intelligent cloud platform of pedestrian's analysis
CN110175553A (en) * 2019-05-23 2019-08-27 银河水滴科技(北京)有限公司 The method and device of feature database is established based on Gait Recognition and recognition of face
CN110210392A (en) * 2019-05-31 2019-09-06 吉林化工学院 A kind of Gait Recognition device based on probability theory
CN110210444A (en) * 2019-06-12 2019-09-06 湖北东方星海科技实业有限公司 A kind of application method of iris recognition technology
CN110693466A (en) * 2019-11-19 2020-01-17 四川大学华西医院 Rehabilitation evaluation device based on remote control induction technology and implementation method thereof
CN110750671A (en) * 2019-09-05 2020-02-04 浙江省北大信息技术高等研究院 Pedestrian retrieval method and device based on massive unstructured features
CN110765950A (en) * 2019-10-24 2020-02-07 广州善利信息科技有限公司 Camouflage individual identification method, system and medium based on human face identification and gait identification
CN110956237A (en) * 2019-11-20 2020-04-03 武汉瑞莱保能源技术有限公司 Warehouse management system
CN111125768A (en) * 2019-12-26 2020-05-08 联想(北京)有限公司 Information processing method, information processing apparatus, electronic device, and medium
CN111160195A (en) * 2019-12-23 2020-05-15 哈尔滨工程大学 Ship personnel management system based on multi-biometric feature recognition technology
CN111368598A (en) * 2018-12-26 2020-07-03 上海银晨智能识别科技有限公司 Human body biological characteristic acquisition system
CN112766225A (en) * 2021-02-01 2021-05-07 黄岩 Automatic gait warehouse building device and method based on mobile personnel
CN112966638A (en) * 2021-03-22 2021-06-15 国网浙江省电力有限公司电力科学研究院 Transformer station operator identification and positioning method based on multiple characteristics

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070005988A1 (en) * 2005-06-29 2007-01-04 Microsoft Corporation Multimodal authentication
KR100824757B1 (en) * 2007-02-09 2008-04-24 연세대학교 산학협력단 Gait recognition method
CN104361276A (en) * 2014-11-18 2015-02-18 新开普电子股份有限公司 Multi-mode biometric authentication method and multi-mode biometric authentication system
CN105787440A (en) * 2015-11-10 2016-07-20 深圳市商汤科技有限公司 Security protection management method and system based on face features and gait features
CN105825176A (en) * 2016-03-11 2016-08-03 东华大学 Identification method based on multi-mode non-contact identity characteristics
CN206224519U (en) * 2016-12-01 2017-06-06 大连因特视智能传感科技有限公司 Intelligent identity identification system based on dynamic human face identification and Gait Recognition fusion

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070005988A1 (en) * 2005-06-29 2007-01-04 Microsoft Corporation Multimodal authentication
KR100824757B1 (en) * 2007-02-09 2008-04-24 연세대학교 산학협력단 Gait recognition method
CN104361276A (en) * 2014-11-18 2015-02-18 新开普电子股份有限公司 Multi-mode biometric authentication method and multi-mode biometric authentication system
CN105787440A (en) * 2015-11-10 2016-07-20 深圳市商汤科技有限公司 Security protection management method and system based on face features and gait features
CN105825176A (en) * 2016-03-11 2016-08-03 东华大学 Identification method based on multi-mode non-contact identity characteristics
CN206224519U (en) * 2016-12-01 2017-06-06 大连因特视智能传感科技有限公司 Intelligent identity identification system based on dynamic human face identification and Gait Recognition fusion

Cited By (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109465819A (en) * 2017-09-08 2019-03-15 株式会社日立大厦系统 Human body recognition system and human body recognition method
CN109465819B (en) * 2017-09-08 2022-04-05 株式会社日立大厦系统 Human body recognition system and human body recognition method
CN107918771A (en) * 2017-12-07 2018-04-17 河北工业大学 Character recognition method and Worn type person recognition system
CN107918771B (en) * 2017-12-07 2023-11-24 河北工业大学 Person identification method and wearable person identification system
US20190279010A1 (en) * 2018-03-09 2019-09-12 Baidu Online Network Technology (Beijing) Co., Ltd . Method, system and terminal for identity authentication, and computer readable storage medium
US10740636B2 (en) * 2018-03-09 2020-08-11 Baidu Online Nework Technology (Beijing) Co., Ltd. Method, system and terminal for identity authentication, and computer readable storage medium
CN108319930A (en) * 2018-03-09 2018-07-24 百度在线网络技术(北京)有限公司 Identity identifying method, system, terminal and computer readable storage medium
CN108319930B (en) * 2018-03-09 2021-04-06 百度在线网络技术(北京)有限公司 Identity authentication method, system, terminal and computer readable storage medium
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CN109447199A (en) * 2018-10-16 2019-03-08 山东大学 A kind of multi-modal criminal's recognition methods and system based on step information
CN109492595A (en) * 2018-11-19 2019-03-19 浙江传媒学院 Behavior prediction method and system suitable for fixed group
CN109634981A (en) * 2018-12-11 2019-04-16 银河水滴科技(北京)有限公司 A kind of database expansion method and device
CN111368598A (en) * 2018-12-26 2020-07-03 上海银晨智能识别科技有限公司 Human body biological characteristic acquisition system
CN109739144A (en) * 2019-01-21 2019-05-10 常州方可为机械科技有限公司 Intelligent drive device for gate
CN109920111A (en) * 2019-03-05 2019-06-21 杭州电子科技大学 A kind of access control system of recognition of face and Gait Recognition fusion
CN110147712A (en) * 2019-03-27 2019-08-20 苏州书客贝塔软件科技有限公司 A kind of intelligent cloud platform of pedestrian's analysis
CN110135240A (en) * 2019-03-27 2019-08-16 苏州书客贝塔软件科技有限公司 A kind of pedestrian's analysis intelligent analysis system based on computer vision
CN110175553A (en) * 2019-05-23 2019-08-27 银河水滴科技(北京)有限公司 The method and device of feature database is established based on Gait Recognition and recognition of face
CN110210392B (en) * 2019-05-31 2022-12-09 吉林化工学院 Gait recognition device based on probability theory
CN110210392A (en) * 2019-05-31 2019-09-06 吉林化工学院 A kind of Gait Recognition device based on probability theory
CN110210444B (en) * 2019-06-12 2020-08-25 湖北东方星海科技实业有限公司 Application method of iris recognition technology
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CN110750671A (en) * 2019-09-05 2020-02-04 浙江省北大信息技术高等研究院 Pedestrian retrieval method and device based on massive unstructured features
CN110750671B (en) * 2019-09-05 2022-09-02 杭州未名信科科技有限公司 Pedestrian retrieval method and device based on massive unstructured features
CN110765950A (en) * 2019-10-24 2020-02-07 广州善利信息科技有限公司 Camouflage individual identification method, system and medium based on human face identification and gait identification
CN110693466A (en) * 2019-11-19 2020-01-17 四川大学华西医院 Rehabilitation evaluation device based on remote control induction technology and implementation method thereof
CN110956237A (en) * 2019-11-20 2020-04-03 武汉瑞莱保能源技术有限公司 Warehouse management system
CN111160195A (en) * 2019-12-23 2020-05-15 哈尔滨工程大学 Ship personnel management system based on multi-biometric feature recognition technology
CN111125768A (en) * 2019-12-26 2020-05-08 联想(北京)有限公司 Information processing method, information processing apparatus, electronic device, and medium
CN112766225A (en) * 2021-02-01 2021-05-07 黄岩 Automatic gait warehouse building device and method based on mobile personnel
CN112966638A (en) * 2021-03-22 2021-06-15 国网浙江省电力有限公司电力科学研究院 Transformer station operator identification and positioning method based on multiple characteristics

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Application publication date: 20170531