CN105574497A - Mall people counting system and counting method based on face detection - Google Patents
Mall people counting system and counting method based on face detection Download PDFInfo
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- CN105574497A CN105574497A CN201510933052.9A CN201510933052A CN105574497A CN 105574497 A CN105574497 A CN 105574497A CN 201510933052 A CN201510933052 A CN 201510933052A CN 105574497 A CN105574497 A CN 105574497A
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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 to the image identification field and provides a mall people counting system and counting method based on face detection. The mall people counting system based on face detection comprises the photographing terminals of a mall for sending the photographed pictures of customers passing through the entrance of the mall; a customer flow counting server for carrying out SHAPE\*MERGEFORMAT face identification to all pictures, identifying the face information of each picture, generating face identifying results and similarities according to a preset temporary resident population base and important population base and the face information, preferentially processing the pictures with high similarities, counting the customers and generating the number of people in the mall so as to obtain the customer flow. The system and the method of the invention are advantaged by that the counted number of people in the mall provides real time, visual and accurate customer flow data to managers for high efficient management and organization.
Description
Technical field
The invention belongs to field of image recognition, particularly relate to the market passenger number statistical system capable based on Face datection and statistical method.
Background technology
Passenger flow is also referred to as number usually, is public place indispensable data in management and decision such as megastore, shopping center, chain store, airport, station, museum, exhibition center.For retail trade, the index that number is very basic especially.Because of itself and the direct proportional relation of sales volume, the attention of people to demographics data is long-standing.
In today that retail trade develops rapidly, according to statistics, megastore and the chain commercial site in the developed countries such as Singapore, Hong Kong, Japan, America and Europe and city more than 90% have widely used real-time passenger flow analysis system, as can be seen here: the passenger flow information comprehensively grasping industry situation operation is to the management of the science of enforcement and make correct decision-making of market sales and play vital effect.
But, at present in the management system of market, market number cannot be added up, real-time, intuitive and accurate volume of the flow of passengers data cannot be provided for supvr, be unfavorable for managing more efficiently and organization work.
Summary of the invention
The object of the embodiment of the present invention is to provide a kind of market passenger number statistical system capable based on Face datection, be intended to solve at present in the management system of market, market number cannot be added up, real-time, intuitive and accurate volume of the flow of passengers data cannot be provided for supvr, be unfavorable for managing the problem with organization work more efficiently.
The embodiment of the present invention is achieved in that a kind of market passenger number statistical system capable based on Face datection, comprising:
The camera terminal in market, for sending the photo of shooting by the client of mall entrance;
Guest flow statistics 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, emphasis population storehouse and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, statistics client, generates market number, obtains the volume of the flow of passengers.
Further, between described mobile terminal and guest flow statistics 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 statistical method based on above-mentioned market passenger number statistical system capable, comprising:
The camera terminal in market sends the photo of shooting by the client of mall entrance;
Guest flow statistics 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, emphasis population storehouse and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, statistics client, generate market number, obtain the volume of the flow of passengers.
Further, in described face recognition result, the photo that priority processing similarity is high, statistics client, generates market number, obtains the volume of the flow of passengers, be specially:
In described face recognition result, sort to similarity, the photo that priority processing similarity is high, statistics client, generates market number, obtains the volume of the flow of passengers.
Further, described statistical method, also comprises:
Guest flow statistics 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 statistical method, also comprises:
Read the update time of setting;
When arriving described update time, according to public security CCIC storehouse, upgrade people stayed temporarily storehouse, emphasis population storehouse.
In embodiments of the present invention, provide camera terminal and the guest flow statistics server in market, solve at present in the management system of market, market number cannot be added up, real-time, intuitive and accurate volume of the flow of passengers data cannot be provided for supvr, be unfavorable for managing the problem with organization work more efficiently.Beneficial effect is: count market number, for supvr provides real-time, intuitive and accurate volume of the flow of passengers data, is beneficial to manage more efficiently and organization work.
Accompanying drawing explanation
Fig. 1 is the structural drawing of the market passenger number statistical system capable based on Face datection that the embodiment of the present invention provides;
Fig. 2 is the realization flow figure of the statistical method 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 market passenger number statistical system capable based on Face datection that the embodiment of the present invention provides, and details are as follows:
The camera terminal 1 in market, for sending the photo of shooting by the client of mall entrance;
Guest flow statistics 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, emphasis population storehouse and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, statistics client, generates market number, obtains the volume of the flow of passengers.
Guest flow statistics server 22 also for according to the people stayed temporarily storehouse set up in advance, emphasis population storehouse, multiple characteristic quantity and described face information, generates similarity.
Guest flow statistics server 22, also for adding up the client in setting-up time, generating market number, obtaining the volume of the flow of passengers in setting-up time.
In embodiments of the present invention, provide camera terminal 11 and the guest flow statistics server 22 in market, solve at present in the management system of market, market number cannot be added up, real-time, intuitive and accurate volume of the flow of passengers data cannot be provided for supvr, be unfavorable for managing the problem with organization work more efficiently.Beneficial effect is: movability is strong, also can play a role in blind area, city, and the various inspections occasion on duty being applicable to each categories within police force uses.
embodiment two
Fig. 2 is the implementing procedure figure of the statistical method that the embodiment of the present invention provides, and details are as follows:
Step S201, the camera terminal 1 in market sends the photo of shooting by the client of mall entrance;
Step S201, guest flow statistics 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, emphasis population storehouse and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, statistics client, generates market number, obtains the volume of the flow of passengers.
Wherein, described recognition of face concrete steps, comprising:
The face location of location input picture (photo);
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.
embodiment three
The embodiment of the present invention describes the better implementing procedure of the market passenger number statistical system capable based on Face datection, and details are as follows:
Hardware components: high-definition camera, gathers vision signal and passes to monitor terminal; Passenger flow statistics server, for the total number of persons in analytic statistics passback video, obtains the crowd's amount of flow data in set period and appointed area.
Software section: user has access to terminal, designated statistics region and direction on real-time video picture by approach such as IE access; Video pictures is recorded a video, captures; And obtain the accurate data of crowd's amount of flow in region, generate, print statistical tables and reports.
Systemic-function
The number entering camera head monitor scope is added up.
User directly can have access to guest flow statistics terminal by IE, carries out the settings such as region, direction, alert if, records a video, captures video pictures.
When many people are simultaneously by surveyed area, everyone flow direction can be distinguished.
To the data genaration form of statistics.
Counter for number of people supports multi-channel video demographics simultaneously, and 1 video this locality, road exports, and SD card stores, warning I/O, and RS485 exports.
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 market passenger number statistical system capable for Face datection, it is characterized in that, comprising:
The camera terminal in market, for sending the photo of shooting by the client of mall entrance;
Guest flow statistics 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, emphasis population storehouse and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, statistics client, generates market number, obtains the volume of the flow of passengers.
2. as claimed in claim 1 based on the market passenger number statistical system capable of Face datection, it is characterized in that, between described mobile terminal and guest flow statistics 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 statistical method for the market passenger number statistical system capable based on Face datection according to claim 1, it is characterized in that, described statistical method comprises:
The camera terminal in market sends the photo of shooting by the client of mall entrance;
Guest flow statistics 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, emphasis population storehouse and described face information, generate face recognition result and similarity, in described face recognition result, the photo that priority processing similarity is high, statistics client, generate market number, obtain the volume of the flow of passengers.
4. statistical method as claimed in claim 3, is characterized in that, described in described face recognition result, the photo that priority processing similarity is high, and statistics client generates market number, obtains the volume of the flow of passengers, be specially:
In described face recognition result, sort to similarity, the photo that priority processing similarity is high, statistics client, generates market number, obtains the volume of the flow of passengers.
5. statistical method as claimed in claim 3, it is characterized in that, described statistical method, also comprises:
Guest flow statistics 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. statistical method as claimed in claim 3, it is characterized in that, described statistical method, also comprises:
Read the update time of setting;
When arriving described update time, according to public security CCIC storehouse, upgrade people stayed temporarily storehouse, emphasis population storehouse.
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Cited By (15)
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CN106372620A (en) * | 2016-09-29 | 2017-02-01 | 北京小米移动软件有限公司 | Video information sharing method and device |
CN106570726A (en) * | 2016-10-27 | 2017-04-19 | 浙江工商职业技术学院 | Shopping mall passenger flow calculation data processing system |
CN106600309A (en) * | 2016-10-27 | 2017-04-26 | 浙江工商职业技术学院 | Data processing method for calculating customer flow in shopping mall |
CN107480632A (en) * | 2017-08-11 | 2017-12-15 | 安徽辉墨教学仪器有限公司 | Personnel statistical method in a kind of classroom based on video |
CN107766817A (en) * | 2017-10-17 | 2018-03-06 | 广东码识图信息科技有限公司 | Passenger flow analysing methods, devices and systems based on living things feature recognition |
CN108009530A (en) * | 2017-12-27 | 2018-05-08 | 欧普照明股份有限公司 | A kind of identity calibration system and method |
CN108460504A (en) * | 2017-02-17 | 2018-08-28 | 张月妹 | A kind of supermarket's safe condition real-time visual evaluation and test algorithm |
CN109389007A (en) * | 2017-08-08 | 2019-02-26 | 杭州海康威视数字技术股份有限公司 | Passenger flow volume statistical method, apparatus and system |
CN109614916A (en) * | 2018-12-06 | 2019-04-12 | 郑州铁路职业技术学院 | Station passenger status real time monitor early warning computer system based on recognition of face |
CN109977759A (en) * | 2019-01-30 | 2019-07-05 | 长视科技股份有限公司 | A kind of passenger flow statistics monitoring system surpassed towards wisdom quotient |
CN110135287A (en) * | 2019-04-28 | 2019-08-16 | 武汉澳易通电信科技有限公司 | A kind of face identification system and its recognition methods |
CN111476072A (en) * | 2019-01-24 | 2020-07-31 | 大白科技发展(上海)有限公司 | Real-time passenger flow volume analysis system based on face recognition |
CN111626079A (en) * | 2019-02-27 | 2020-09-04 | 杭州海康威视数字技术股份有限公司 | Personnel counting method and device and electronic equipment |
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CN113995316A (en) * | 2021-09-28 | 2022-02-01 | 珠海格力电器股份有限公司 | Method and device for determining cooking amount, storage medium and electronic equipment |
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Cited By (20)
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CN106372620A (en) * | 2016-09-29 | 2017-02-01 | 北京小米移动软件有限公司 | Video information sharing method and device |
CN106372620B (en) * | 2016-09-29 | 2021-06-29 | 北京小米移动软件有限公司 | Video information sharing method and device |
CN106570726A (en) * | 2016-10-27 | 2017-04-19 | 浙江工商职业技术学院 | Shopping mall passenger flow calculation data processing system |
CN106600309A (en) * | 2016-10-27 | 2017-04-26 | 浙江工商职业技术学院 | Data processing method for calculating customer flow in shopping mall |
CN108460504A (en) * | 2017-02-17 | 2018-08-28 | 张月妹 | A kind of supermarket's safe condition real-time visual evaluation and test algorithm |
CN109389007A (en) * | 2017-08-08 | 2019-02-26 | 杭州海康威视数字技术股份有限公司 | Passenger flow volume statistical method, apparatus and system |
CN109389007B (en) * | 2017-08-08 | 2021-05-07 | 杭州海康威视数字技术股份有限公司 | Passenger flow volume statistical method, device and system |
CN107480632A (en) * | 2017-08-11 | 2017-12-15 | 安徽辉墨教学仪器有限公司 | Personnel statistical method in a kind of classroom based on video |
US11200406B2 (en) * | 2017-09-15 | 2021-12-14 | Hangzhou Hikvision Digital Technology Co., Ltd. | Customer flow statistical method, apparatus and device |
CN107766817B (en) * | 2017-10-17 | 2020-07-10 | 广东码识图信息科技有限公司 | Passenger flow analysis method, device and system based on biological feature recognition |
CN107766817A (en) * | 2017-10-17 | 2018-03-06 | 广东码识图信息科技有限公司 | Passenger flow analysing methods, devices and systems based on living things feature recognition |
CN108009530B (en) * | 2017-12-27 | 2024-02-20 | 欧普照明股份有限公司 | Identity calibration system and method |
CN108009530A (en) * | 2017-12-27 | 2018-05-08 | 欧普照明股份有限公司 | A kind of identity calibration system and method |
CN109614916B (en) * | 2018-12-06 | 2021-06-22 | 郑州铁路职业技术学院 | Real-time monitoring and early warning computer system for station passenger state based on face recognition |
CN109614916A (en) * | 2018-12-06 | 2019-04-12 | 郑州铁路职业技术学院 | Station passenger status real time monitor early warning computer system based on recognition of face |
CN111476072A (en) * | 2019-01-24 | 2020-07-31 | 大白科技发展(上海)有限公司 | Real-time passenger flow volume analysis system based on face recognition |
CN109977759A (en) * | 2019-01-30 | 2019-07-05 | 长视科技股份有限公司 | A kind of passenger flow statistics monitoring system surpassed towards wisdom quotient |
CN111626079A (en) * | 2019-02-27 | 2020-09-04 | 杭州海康威视数字技术股份有限公司 | Personnel counting method and device and electronic equipment |
CN110135287A (en) * | 2019-04-28 | 2019-08-16 | 武汉澳易通电信科技有限公司 | A kind of face identification system and its recognition methods |
CN113995316A (en) * | 2021-09-28 | 2022-02-01 | 珠海格力电器股份有限公司 | Method and device for determining cooking amount, storage medium and electronic equipment |
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