CN105426869A - Face recognition system and recognition method based on railway security check - Google Patents
Face recognition system and recognition method based on railway security check Download PDFInfo
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- CN105426869A CN105426869A CN201510931897.4A CN201510931897A CN105426869A CN 105426869 A CN105426869 A CN 105426869A CN 201510931897 A CN201510931897 A CN 201510931897A CN 105426869 A CN105426869 A CN 105426869A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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Abstract
The invention is applicable in the field of image recognition, and provides a face recognition system and recognition method based on railway security check. The face recognition system based on railway security check comprises a shooting terminal positioned at a railway security checkpoint or a station entrance-exit and used for shooting photos of faces passing through the railway security checkpoint, and a face recognition server used for performing SHAPE/*MERGEFORMAT face recognition on all the photos to recognize face information of each photo, generating face recognition results and similarity according to a pre-built temporary resident population library, pursuit library, key population library, urban escaped criminal library and the face information and preferentially processing the photos with high similarity in the face recognition results to detect suspected persons. The system and the method have the advantages of improving the security and the validity of railway security check and being suitable for railway security checkpoints and station entrances-exits with high turnover.
Description
Technical field
The invention belongs to field of image recognition, particularly relate to the face identification system based on railway safety check and recognition methods.
Background technology
Along with the gradual perfection of regulatory management system and monitor and control facility, railway office establishes Surveillance center, Surveillance center adopts based on video monitoring, the place that the control point distribution stream of people relatively concentrates, by image transmitting passage, railway safety check situation is uploaded to Surveillance center in real time, railway security staff can understand the situation in each region accordingly in time, with solution of emergent event.
But, at present in railway safety check work, cannot judge whether these tested personnel are suspect or a suspect, be unfavorable for the security and the validity that improve monitoring.
Summary of the invention
The object of the embodiment of the present invention is to provide a kind of face identification system based on railway safety check, be intended to solve at present in railway safety check work, cannot judge whether these tested personnel are suspect or a suspect, be unfavorable for improving the security of monitoring and the problem of validity.
The embodiment of the present invention is achieved in that a kind of face identification system based on railway safety check, comprising:
Be positioned at the camera terminal of railway security check or station entrance-exit, for taking the photo of the face by railway security check;
Recognition of face server, for carrying out recognition of face to all photos, identify the face information of often opening photo, according to the people stayed temporarily storehouse set up in advance, storehouse of pursuing and capturing an escaped prisoner, emphasis population storehouse, fugitive personnel storehouse, city and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, detects suspicious figure.
Further, between described mobile terminal and recognition of face server, adopt wireless network schemer interconnected, described wireless network schemer comprises at least one in WIFI network pattern, 3G network pattern, 4G network schemer, 5G network schemer.
Another object of the embodiment of the present invention is to provide the recognition methods based on the above-mentioned face identification system based on railway safety check, comprising:
Be positioned at the photo of camera terminal shooting by the face of railway security check of railway security check or station entrance-exit;
Recognition of face server carries out recognition of face to all photos, identify the face information of often opening photo, according to the people stayed temporarily storehouse set up in advance, storehouse of pursuing and capturing an escaped prisoner, emphasis population storehouse, fugitive personnel storehouse, city and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, detects suspicious figure.
Further, in described face recognition result, the photo that priority processing similarity is high, detects suspicious figure, is specially:
In described face recognition result, sort to similarity, the photo that priority processing similarity is high, detects suspicious figure.
Further, described recognition methods, also comprises:
Recognition of face server detects described similarity and whether exceedes setting threshold value;
When described similarity exceedes setting threshold value, send and report to the police and assist reinforcement information.
Further, described recognition methods, also comprises:
Read the update time of setting;
When arriving described update time, according to public security CCIC storehouse, upgrade fugitive personnel storehouse.
In embodiments of the present invention, provide the camera terminal and recognition of face server that are positioned at railway security check or station entrance-exit, solve at present in railway safety check work, cannot judge whether these tested personnel are suspect or a suspect, be unfavorable for improving the security of monitoring and the problem of validity.Beneficial effect is: the security and the validity that improve railway safety check, is applicable to the railway security check and the station entrance-exit that there are a large amount of flow of personnel.
Accompanying drawing explanation
Fig. 1 is the structural drawing of the face identification system based on railway safety check that the embodiment of the present invention provides;
Fig. 2 is the realization flow figure of the recognition methods that the embodiment of the present invention provides.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
embodiment one
Fig. 1 is the structural drawing of the face identification system based on railway safety check that the embodiment of the present invention provides, and details are as follows:
Be positioned at the camera terminal 1 of railway security check or station entrance-exit, for taking the photo of the face by railway security check;
Recognition of face server 2, for carrying out recognition of face to all photos, identify the face information of often opening photo, according to the people stayed temporarily storehouse set up in advance, storehouse of pursuing and capturing an escaped prisoner, emphasis population storehouse, fugitive personnel storehouse, city and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, detects suspicious figure.
Be positioned at the camera terminal 1 of railway security check or station entrance-exit also for Identification display result.
Recognition of face server 2 also for according to the people stayed temporarily storehouse set up in advance, storehouse of pursuing and capturing an escaped prisoner, emphasis population storehouse, fugitive personnel storehouse, city, multiple characteristic quantity and described face information, generates similarity.
In embodiments of the present invention, provide the camera terminal 1 and recognition of face server 2 that are positioned at railway security check or station entrance-exit, solve at present in railway safety check work, cannot judge whether these tested personnel are suspect or a suspect, be unfavorable for improving the security of monitoring and the problem of validity.Prevent lawless person in the security incident making harm visitor, meanwhile, improve security and the validity of railway safety check, be applicable to the railway security check and the station entrance-exit that there are a large amount of flow of personnel.
embodiment two
Fig. 2 is the implementing procedure figure of the recognition methods that the embodiment of the present invention provides, and details are as follows:
Step S201, the camera terminal 1 being positioned at railway security check or station entrance-exit takes the photo of the face by railway security check;
Step S202, recognition of face server 2 carries out recognition of face to all photos, identify the face information of often opening photo, according to the people stayed temporarily storehouse set up in advance, storehouse of pursuing and capturing an escaped prisoner, emphasis population storehouse, fugitive personnel storehouse, city and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, detects suspicious figure.
embodiment three
The embodiment of the present invention describes the better implementing procedure of the face identification system based on railway safety check, and details are as follows:
Whole system mainly comprises following two modules:
Face acquisition module:
The function of this module is the satisfactory face of acquisition quality, and carries out one-level comparison, is that similar face passes to next module preliminary judgement.
This module from video camera Real-time Obtaining video flowing, and carries out Face datection to video flowing, obtains facial image, then assesses quality of human face image.If face quality is undesirable, then abandon, if met the requirements, then extract feature with one-level algorithm, compare with the facial image feature of local data library storage, obtain a series of similar value, select the face ID exceeding threshold value with its similar value, and the face ID of this facial image, selection is passed to data management module, and store comparison daily record.
Wherein, described video camera obtains video flowing, detects face in described video flowing, obtains facial image and specifically comprises:
The face location of location input picture;
According to average key unique point and described face location, obtain the key feature points initial position before the renewal of this input picture;
According to the key feature points initial position before upgrading and the provincial characteristics extracted, call described dynamic initialization regression model, obtain the initial position of the key feature points after upgrading;
Key feature points initial position before upgrading according to the grey level histogram specification processing preset, and extract the provincial characteristics corresponding to key feature points initial position before the renewal of specification processing, using the provincial characteristics of the key feature points initial position before upgrading and its correspondence as the input value of dynamic initialization regression model, obtain the key feature points initial position after upgrading;
Described input picture is carried out affined transformation according to described face critical feature locations, and the face key feature adjusting described input picture obtains the face picture of aliging to unified position;
The face picture adopting human-face detector to detect described alignment is evaluated and tested mark accordingly, testing result being obtained described evaluation and test mark with presetting evaluates and tests mark and compares, when described evaluation and test mark is less than default evaluation and test mark, then judge that face key feature points is inaccurate; When described evaluation and test mark is not less than default evaluation and test mark, then judge that face key feature points is accurate.
When described quality of human face image meets the requirements quality, according to the difference of face, by the quantity of demand statistics face, thus reach the object of statistical number of person.
Data management module:
The function of this module is carry out secondary comparison through the face of one-level comparison and the database of this module, filters out the higher face of similarity (warning) and gives lower one end.
This module obtains the facial image and face ID uploaded front end, extract the secondary algorithm characteristics of facial image, and compare from the feature of this module database with by ID, the threshold decision of similar value and the setting in advance obtained is utilized whether to report to the police, if reported to the police, then comparison information (comprise facial image, all face identity photographs, identity information, similar value etc. that similar value exceedes threshold value) is passed to artificial comparing module, and store comparison daily record.
Systemic-function
1. face acquisition module:
Face acquisition module utilizes some cameras (camera of this module support mostly is four tunnels most) to take mobile personnel's video in social place; According to Face datection algorithm and face quality evaluation algorithm, Face datection is carried out to captured video, obtain facial image; Extract the feature of facial image, and compare with the facial feature database that prestores in this module, obtain similar value; The threshold value of similar value with setting is in advance compared, judges whether face has suspicion.Using suspectable for tool facial image, the most similar to this face figure before No. ID of some names (quantity sets in advance) personnel as face early warning information, be sent to next stage module.Whether the face no matter detected has suspicion, all facial image and comparison result is stored in the daily record of this module.The video taken by camera and the face detected wherein are shown on the human-computer interaction interface of this module, check at any time for user.
Data management module:
Data management module receives the face alignment information that upper level module transmits, and by information stored in daily record.Early warning information secondary algorithm is extracted characteristics of image, the ID utilizing front end system to pass back finds out face characteristic and compares with the facial image feature extracted from this module database, obtain one group of similar value, compare with the threshold value set in advance, judge whether to report to the police.If reported to the police, then comparison result (comprise facial image, all I.D. photographs, identity information, similar value that similar value exceedes threshold value) is passed to artificial comparing module, and store comparison daily record; If do not reported to the police, then stored in daily record, do not carry out subsequent operation.
2. this scheme major function is as follows:
1. camera shooting terminal function;
Image collecting function;
Face extraction function;
Face characteristic value abstraction function;
Face characteristic value and upload function (Data Encryption Transmission, support unsuccessfully to retransmit).
2. recognition of face background function;
Face characteristic value receiving function;
Face identification functions;
Passing on Gong under recognition result can;
Similarity alarm threshold value parameter setting function;
Comparison library management function (add, edit, delete, inquire about);
Comparison result management function (responding state-maintenance, inquiry);
User authority management function;
Alarming and managing function;
Concurrent request balanced management function.
Through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required common hardware by software and realizes.Described program can be stored in read/write memory medium, described storage medium, as random access memory, flash memory, ROM (read-only memory), programmable read only memory, electrically erasable programmable storer, register etc.This storage medium is positioned at storer, and processor reads the information in storer, performs the method described in each embodiment of the present invention in conjunction with its hardware.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.
Claims (6)
1. based on a face identification system for railway safety check, it is characterized in that, comprising:
Be positioned at the camera terminal of railway security check or station entrance-exit, for taking the photo of the face by railway security check;
Recognition of face server, for carrying out recognition of face to all photos, identify the face information of often opening photo, according to the people stayed temporarily storehouse set up in advance, storehouse of pursuing and capturing an escaped prisoner, emphasis population storehouse, fugitive personnel storehouse, city and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, detects suspicious figure.
2. as claimed in claim 1 based on the face identification system of railway safety check, it is characterized in that, between described mobile terminal and recognition of face server, adopt wireless network schemer interconnected, described wireless network schemer comprises at least one in WIFI network pattern, 3G network pattern, 4G network schemer, 5G network schemer.
3. based on a recognition methods for the face identification system based on railway safety check according to claim 1, it is characterized in that, described recognition methods comprises:
Be positioned at the photo of camera terminal shooting by the face of railway security check of railway security check or station entrance-exit;
Recognition of face server carries out recognition of face to all photos, identify the face information of often opening photo, according to the people stayed temporarily storehouse set up in advance, storehouse of pursuing and capturing an escaped prisoner, emphasis population storehouse, fugitive personnel storehouse, city and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, detects suspicious figure.
4. recognition methods as claimed in claim 3, is characterized in that, described in described face recognition result, and the photo that priority processing similarity is high detects suspicious figure, is specially:
In described face recognition result, sort to similarity, the photo that priority processing similarity is high, detects suspicious figure.
5. recognition methods as claimed in claim 3, it is characterized in that, described recognition methods, also comprises:
Recognition of face server detects described similarity and whether exceedes setting threshold value;
When described similarity exceedes setting threshold value, send and report to the police and assist reinforcement information.
6. recognition methods as claimed in claim 3, it is characterized in that, described recognition methods, also comprises:
Read the update time of setting;
When arriving described update time, according to public security CCIC storehouse, upgrade fugitive personnel storehouse.
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| CN201510931897.4A CN105426869A (en) | 2015-12-15 | 2015-12-15 | Face recognition system and recognition method based on railway security check |
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| CN201510931897.4A CN105426869A (en) | 2015-12-15 | 2015-12-15 | Face recognition system and recognition method based on railway security check |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106023373A (en) * | 2016-05-23 | 2016-10-12 | 三峡大学 | Big data and human face identification based access control system for school dormitory |
| CN106372572A (en) * | 2016-08-19 | 2017-02-01 | 北京旷视科技有限公司 | Monitoring method and apparatus |
| CN106599813A (en) * | 2016-12-05 | 2017-04-26 | 中兴智能视觉大数据技术（湖北）有限公司 | Railway security check and security protection management system based on face recognition |
| CN106599814A (en) * | 2016-12-05 | 2017-04-26 | 中兴智能视觉大数据技术（湖北）有限公司 | Security inspection device suitable for man, identity certificate, ticket checking system |
| CN106599748A (en) * | 2016-12-05 | 2017-04-26 | 中兴智能视觉大数据技术（湖北）有限公司 | Railway security check and protection management system capable of intelligent dynamic face identification |
| 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 |
| CN106778724A (en) * | 2016-12-05 | 2017-05-31 | 中兴智能视觉大数据技术（湖北）有限公司 | A kind of safety check instrument for testimony of a witness ticket verifying system |
| CN106778573A (en) * | 2016-12-05 | 2017-05-31 | 中兴智能视觉大数据技术（湖北）有限公司 | A kind of intelligent railway safety check security-protection management system |
| CN106780778A (en) * | 2016-12-05 | 2017-05-31 | 中兴智能视觉大数据技术（湖北）有限公司 | A kind of railway safety check security-protection management system |
| CN106780777A (en) * | 2016-12-05 | 2017-05-31 | 中兴智能视觉大数据技术（湖北）有限公司 | A kind of railway testimony of a witness ticket verifying system |
| CN108345868A (en) * | 2018-03-09 | 2018-07-31 | 广东万峯信息科技有限公司 | Public transport based on face recognition technology is pursued and captured an escaped prisoner system and its control method |
| CN109271891A (en) * | 2018-08-30 | 2019-01-25 | 成都考拉悠然科技有限公司 | A kind of dynamic face supervision method and system |
| CN109858469A (en) * | 2019-03-06 | 2019-06-07 | 百度在线网络技术（北京）有限公司 | Method and apparatus for output information |
| CN109919035A (en) * | 2019-01-31 | 2019-06-21 | 平安科技（深圳）有限公司 | Improve method, apparatus, computer equipment and storage medium that attendance is identified by |
| WO2019127273A1 (en) * | 2017-12-28 | 2019-07-04 | 深圳市锐明技术股份有限公司 | Multi-person face detection method, apparatus, server, system, and storage medium |
| CN110489950A (en) * | 2019-07-04 | 2019-11-22 | 深圳科安达电子科技股份有限公司 | A kind of the log-on message enciphering authentication and system of the verifying of railway dedicated management system |
| CN111582172A (en) * | 2020-05-08 | 2020-08-25 | 安徽三音电子科技有限公司 | Real-time monitoring and early warning system for station passenger state based on face recognition |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106023373A (en) * | 2016-05-23 | 2016-10-12 | 三峡大学 | Big data and human face identification based access control system for school dormitory |
| CN106372572A (en) * | 2016-08-19 | 2017-02-01 | 北京旷视科技有限公司 | Monitoring method and apparatus |
| CN106372572B (en) * | 2016-08-19 | 2019-11-12 | 北京旷视科技有限公司 | Monitoring method and device |
| CN106780778A (en) * | 2016-12-05 | 2017-05-31 | 中兴智能视觉大数据技术（湖北）有限公司 | A kind of railway safety check security-protection management system |
| CN106778724A (en) * | 2016-12-05 | 2017-05-31 | 中兴智能视觉大数据技术（湖北）有限公司 | A kind of safety check instrument for testimony of a witness ticket verifying system |
| CN106778573A (en) * | 2016-12-05 | 2017-05-31 | 中兴智能视觉大数据技术（湖北）有限公司 | A kind of intelligent railway safety check security-protection management system |
| CN106599814A (en) * | 2016-12-05 | 2017-04-26 | 中兴智能视觉大数据技术（湖北）有限公司 | Security inspection device suitable for man, identity certificate, ticket checking system |
| CN106780777A (en) * | 2016-12-05 | 2017-05-31 | 中兴智能视觉大数据技术（湖北）有限公司 | A kind of railway testimony of a witness ticket verifying system |
| CN106599748A (en) * | 2016-12-05 | 2017-04-26 | 中兴智能视觉大数据技术（湖北）有限公司 | Railway security check and protection management system capable of intelligent dynamic face identification |
| CN106599813A (en) * | 2016-12-05 | 2017-04-26 | 中兴智能视觉大数据技术（湖北）有限公司 | Railway security check and security protection management system based on face recognition |
| 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 |
| WO2019127273A1 (en) * | 2017-12-28 | 2019-07-04 | 深圳市锐明技术股份有限公司 | Multi-person face detection method, apparatus, server, system, and storage medium |
| CN108345868A (en) * | 2018-03-09 | 2018-07-31 | 广东万峯信息科技有限公司 | Public transport based on face recognition technology is pursued and captured an escaped prisoner system and its control method |
| CN109271891A (en) * | 2018-08-30 | 2019-01-25 | 成都考拉悠然科技有限公司 | A kind of dynamic face supervision method and system |
| CN109919035A (en) * | 2019-01-31 | 2019-06-21 | 平安科技（深圳）有限公司 | Improve method, apparatus, computer equipment and storage medium that attendance is identified by |
| CN109858469A (en) * | 2019-03-06 | 2019-06-07 | 百度在线网络技术（北京）有限公司 | Method and apparatus for output information |
| CN110489950A (en) * | 2019-07-04 | 2019-11-22 | 深圳科安达电子科技股份有限公司 | A kind of the log-on message enciphering authentication and system of the verifying of railway dedicated management system |
| CN111582172A (en) * | 2020-05-08 | 2020-08-25 | 安徽三音电子科技有限公司 | Real-time monitoring and early warning system for station passenger state based on face recognition |
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Application publication date: 20160323 |
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| WD01 | Invention patent application deemed withdrawn after publication |