CN108875695A - Visit scene interest stream of people's statistical analysis technique based on machine vision - Google Patents

Visit scene interest stream of people's statistical analysis technique based on machine vision Download PDF

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Publication number
CN108875695A
CN108875695A CN201810728713.8A CN201810728713A CN108875695A CN 108875695 A CN108875695 A CN 108875695A CN 201810728713 A CN201810728713 A CN 201810728713A CN 108875695 A CN108875695 A CN 108875695A
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China
Prior art keywords
visitor
face
people
stream
head portrait
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Pending
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CN201810728713.8A
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Chinese (zh)
Inventor
罗杰
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Shenzhen Yong Yida Robot Co Ltd
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Shenzhen Yong Yida Robot Co Ltd
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Priority to CN201810728713.8A priority Critical patent/CN108875695A/en
Publication of CN108875695A publication Critical patent/CN108875695A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/53Recognition of crowd images, e.g. recognition of crowd congestion
    • 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
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

The present invention provides a kind of visit scene interest stream of people's statistical analysis technique based on machine vision, including:The video data of shooting is simultaneously uploaded to host by camera captured in real-time;The host obtains the image in camera preview frame, carries out Face datection, judges whether there is face appearance in image;If having detected face appearance, then the face that tracing detection arrives is until face disappearance, determines a visitor by display area.By guiding target Customer Acquisition direct picture, and direct picture is provided to user, benign feedback is provided, and then obtain quality relative to traditional stream of people's statistical more hi-vision, and there is higher identification accuracy.And use face tracking technology, the accuracy of guarantor's stream statistics.And have and export the stream of people in real time by situation, accurate target customer is provided for businessman.

Description

Visit scene interest stream of people's statistical analysis technique based on machine vision
Technical field
The invention belongs to image identification technical field more particularly to a kind of visit scene interest stream of peoples based on machine vision Statistical analysis technique.
Background technique
Stream of people's data statistics carries out feature identification to stranger, it is emerging to find sense applied to the scene of the brand promotions such as exhibition Interesting user analyzes collected user information, show that portion about Interests User information population characteristic, is determined for company Plan provides data and supports.In traditional approach, by access hatch, this physical structure mode counts the stream of people, but aforesaid way It will limit stream of people's flowing velocity.Or by the modes such as admission ticket, card, preparatory statistical number of person, but aforesaid way presence can not weigh It is multiple to use, it is at high cost.Or also have through infrared detection mode, for infrared detection when flow of the people is excessive, detection accuracy is low, It is single to acquire information, so that business reference is low.In order to solve the above technical problems, those skilled in the art devise A kind of elevator passenger identification of CN106379788A and stream of people's statistic device and side or CN105718873A are based on binocular vision Stream of people's analysis method etc., but aforesaid way exists and need to be acquired in advance to user information or stranger's stream statistics effect The defects of difference, false recognition rate is high.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of visit scene interest stream of people's statistical based on machine vision Analysis method.In order to which some aspects of the embodiment to disclosure have a basic understanding, simple summary is shown below.This is general Including part is not extensive overview, nor to determine key/critical component or describe the protection scope of these embodiments.Its Sole purpose is that some concepts are presented with simple form, in this, as the preamble of following detailed description.
The present invention adopts the following technical scheme that:
In some alternative embodiments, a kind of visit scene interest stream of people statistical analysis side based on machine vision is provided Method, including:The video data of shooting is simultaneously uploaded to host by camera captured in real-time;The host obtains the figure in camera preview frame Picture carries out Face datection, judges whether there is face appearance in image;If having detected face appearance, then tracing detection arrives Face determines a visitor by display area until face disappearance.
In some alternative embodiments, the visit scene interest stream of people statistical analysis side based on machine vision Method further includes:In face that tracing detection arrives until during face disappears, the host save simultaneously visitor's head portrait, The time of visitor's head portrait appearance and the collected relevant information from visitor's head portrait, the relevant information include:Age And gender;The time and acquired from visitor's head portrait that the host occurs according to visitor's head portrait, visitor's head portrait The visitor stream of people passes through situation data at times for the relevant information output arrived, and the stream of people of visitor at times passes through situation data For the age of the visitor for the appearance being distributed in each period, gender and collected number.
In some alternative embodiments, the visit scene interest stream of people statistical analysis side based on machine vision Method further includes:The host retrieves visitor's head portrait of preservation, if retrieving duplicate visitor's head portrait, then will Duplicate visitor's head portrait is labeled as same visitor;The host demarcates the duplicate visitor's head portrait retrieved, It screens as target user interested.
In some alternative embodiments, the visit scene interest stream of people statistical analysis side based on machine vision Method further includes:The host obtains the video data that the camera uploads, and handles the video data and believes visitor face Breath is issued to display and carries out real-time display.
In some alternative embodiments, visitor's facial information includes:Face location, the age, gender, face value, Most similar star, expression, whether wearing spectacles.
Beneficial effect brought by the present invention:The present invention mentions user by guiding target Customer Acquisition direct picture Benign feedback is provided for direct picture, and then obtains quality relative to traditional stream of people's statistical more hi-vision, and have higher Identify accuracy.And use face tracking technology, the accuracy of guarantor's stream statistics.And has and export the stream of people in real time by feelings Condition provides accurate target customer for businessman.
For the above and related purposes, one or more embodiments include being particularly described below and in claim In the feature that particularly points out.Certain illustrative aspects are described in detail in the following description and the annexed drawings, and its instruction is only Some modes in the utilizable various modes of the principle of each embodiment.Other benefits and novel features will be under The detailed description in face is considered in conjunction with the accompanying and becomes obvious, the disclosed embodiments be all such aspects to be included and they Be equal.
Detailed description of the invention
Fig. 1 is a kind of process signal of the live interest stream of people's statistical analysis technique of visit based on machine vision of the present invention Figure.
Specific embodiment
The following description and drawings fully show specific embodiments of the present invention, to enable those skilled in the art to Practice them.Other embodiments may include structure, logic, it is electrical, process and other change.Embodiment Only represent possible variation.Unless explicitly requested, otherwise individual components and functionality is optional, and the sequence operated can be with Variation.The part of some embodiments and feature can be included in or replace part and the feature of other embodiments.This hair The range of bright embodiment includes equivalent obtained by the entire scope of claims and all of claims Object.
As shown in Figure 1, in some illustrative embodiments, providing a kind of visit scene interest people based on machine vision Stream statistics analysis method is identified using machine vision technique by face characteristic, is collected visitor's information, is passed through face retrieval Information is arranged, the feature of user is visited in output.
Visit scene interest stream of people's statistical analysis technique based on machine vision of the invention, including:
101:The video data of shooting is simultaneously uploaded to host by camera captured in real-time.
102:Host obtains the image in camera preview frame, carries out Face datection, judges whether there is face appearance in image.
103:If having detected face appearance, then the face that tracing detection arrives is until face disappearance, determines a visit Person passes through display area.With Face datection, face tracking scheme is used, it is ensured that face occurs to disappearance, is confirmed to be one People passes through, it can be ensured that a face occurs primary and once recorded, and ensures that the precision counted by the stream of people.
104:In the face that tracing detection arrives until during face disappears, host saves visitor's head portrait, ginseng simultaneously The time of onlooker's head portrait appearance and the collected relevant information from visitor's head portrait, relevant information include:Age and gender.
105:Host is collected according to visitor's head portrait, the time of visitor's head portrait appearance and from visitor's head portrait The visitor stream of people passes through situation data at times for relevant information output, and the visitor stream of people is to be distributed in by situation data at times Age, gender and the collected number of the visitor of appearance in each period.Collected information is analyzed, is obtained Portion provides data for corporate decision and supports about Interests User information population characteristic.The stream of people is realized using face tracking technique Statistics.
106:Host retrieves visitor's head portrait of preservation, if retrieving duplicate visitor's head portrait, then will weigh Multiple visitor's head portrait is labeled as same visitor.The output that can guarantee the precision data after visiting, for visitor's head As being retrieved, for repeating face filtering, statistical accuracy is improved.
107:Host demarcates the duplicate visitor's head portrait retrieved, screens as target use interested Family.The present invention is applied to the scene of the brand promotions such as exhibition, carries out face characteristic identification to stranger, finds target use interested Interests User is accurately positioned in family.
108:Host obtains the video data that institute's camera uploads, and handles video data and is issued to visitor's facial information Display carries out real-time display.Visitor's facial information includes:Face location, age, gender, face value, most similar star, table Feelings, whether wearing spectacles.Interest visitor realtime curve realized by display, can also the corresponding filter of AR technology addition Mirror attracts the attention of visitor through the above way, improves the interest that visitor visits, and improves the chance for obtaining positive face, from And improve the precision of statistics.
Display is for attracting user, the display real-time display interface UI real-time display leftmost side and its rightmost side visitor Information, shown using UI and attract target user, can configure different templates according to different environmental demands, changeability is high.
The present invention, with for running whole system, display is a HDMI display, is used for RK3399 development board User information is visited in display in real time, and the camera of camera for acquiring video data in real time.When visitor is demonstrated the display in area Device or showpiece are attracted, and visitor, which turns one's attention to, visits live, the face feature of camera real-time capture to visitor, constantly The reciprocal acquisition whole process that captures passes by and invests expression in the eyes the visitor of this side, when puting on display terminates, output point Analyse processing result.
It should also be appreciated by one skilled in the art that various illustrative logical boxs, mould in conjunction with the embodiments herein description Electronic hardware, computer software or combinations thereof may be implemented into block, circuit and algorithm steps.In order to clearly demonstrate hardware and Interchangeability between software surrounds its function to various illustrative components, frame, module, circuit and step above and carries out It is generally described.Hardware is implemented as this function and is also implemented as software, depends on specific application and to entire The design constraint that system is applied.Those skilled in the art can be directed to each specific application, be realized in a manner of flexible Described function, still, this realization decision should not be construed as a departure from the scope of protection of this disclosure.

Claims (5)

1. visit scene interest stream of people's statistical analysis technique based on machine vision, which is characterized in that including:
The video data of shooting is simultaneously uploaded to host by camera captured in real-time;
The host obtains the image in camera preview frame, carries out Face datection, judges whether there is face appearance in image;
If having detected face appearance, then the face that tracing detection arrives is until face disappearance, determines a visitor by exhibition Show region.
2. visit scene interest stream of people's statistical analysis technique according to claim 1 based on machine vision, feature exist In further including:
In the face that tracing detection arrives until during face disappears, the host saves visitor's head portrait, visitor simultaneously The time of head portrait appearance and the collected relevant information from visitor's head portrait, the relevant information include:Age and gender;
The host is collected according to visitor's head portrait, the time of visitor's head portrait appearance and from visitor's head portrait The visitor stream of people passes through situation data at times for relevant information output, and the stream of people of visitor at times is point by situation data Age, gender and the collected number of the visitor of appearance of the cloth within each period.
3. visit scene interest stream of people's statistical analysis technique according to claim 2 based on machine vision, feature exist In further including:
The host retrieves visitor's head portrait of preservation, then will be duplicate if retrieving duplicate visitor's head portrait Visitor's head portrait is labeled as same visitor;
The host demarcates the duplicate visitor's head portrait retrieved, screens as target user interested.
4. visit scene interest stream of people's statistical analysis technique according to claim 3 based on machine vision, feature exist In further including:
The host obtains the video data that the camera uploads, and handles the video data and issues visitor's facial information Real-time display is carried out to display.
5. visit scene interest stream of people's statistical analysis technique according to claim 4 based on machine vision, feature exist In visitor's facial information includes:Whether face location the age, gender, face value, most similar star, expression, is worn Glasses.
CN201810728713.8A 2018-07-05 2018-07-05 Visit scene interest stream of people's statistical analysis technique based on machine vision Pending CN108875695A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109359628A (en) * 2018-11-28 2019-02-19 上海风语筑展示股份有限公司 A kind of exhibition big data collection analysis platform
CN110765919A (en) * 2019-10-18 2020-02-07 山东浪潮人工智能研究院有限公司 Interview image display system and method based on face detection
CN110784453A (en) * 2019-09-27 2020-02-11 广州市水一方信息科技有限公司 Intelligent identification system for exhibition hall and exhibition hall
CN113128403A (en) * 2021-04-19 2021-07-16 深圳市上源艺术设计有限公司 Intelligent exhibit display method and system based on data analysis

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105718873A (en) * 2016-01-18 2016-06-29 北京联合大学 People stream analysis method based on binocular vision
CN105809178A (en) * 2014-12-31 2016-07-27 中国科学院深圳先进技术研究院 Population analyzing method based on human face attribute and device
CN108197971A (en) * 2017-12-08 2018-06-22 北京天正聚合科技有限公司 Information collecting method, information processing method, apparatus and system
CN108230032A (en) * 2017-12-28 2018-06-29 珠海市君天电子科技有限公司 Determine method, apparatus, electronic equipment and the storage medium of the going value of business entity

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105809178A (en) * 2014-12-31 2016-07-27 中国科学院深圳先进技术研究院 Population analyzing method based on human face attribute and device
CN105718873A (en) * 2016-01-18 2016-06-29 北京联合大学 People stream analysis method based on binocular vision
CN108197971A (en) * 2017-12-08 2018-06-22 北京天正聚合科技有限公司 Information collecting method, information processing method, apparatus and system
CN108230032A (en) * 2017-12-28 2018-06-29 珠海市君天电子科技有限公司 Determine method, apparatus, electronic equipment and the storage medium of the going value of business entity

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
姚博韬 等: "一种基于人脸检测的客流统计分析方法", 《中国通信学会信息通信网络技术委员会2015年年会论文集》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109359628A (en) * 2018-11-28 2019-02-19 上海风语筑展示股份有限公司 A kind of exhibition big data collection analysis platform
CN110784453A (en) * 2019-09-27 2020-02-11 广州市水一方信息科技有限公司 Intelligent identification system for exhibition hall and exhibition hall
CN110765919A (en) * 2019-10-18 2020-02-07 山东浪潮人工智能研究院有限公司 Interview image display system and method based on face detection
CN113128403A (en) * 2021-04-19 2021-07-16 深圳市上源艺术设计有限公司 Intelligent exhibit display method and system based on data analysis

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Application publication date: 20181123