CN107016321A - Commercial cabinet personnel flow detection statistical method - Google Patents
Commercial cabinet personnel flow detection statistical method Download PDFInfo
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- CN107016321A CN107016321A CN201610058001.0A CN201610058001A CN107016321A CN 107016321 A CN107016321 A CN 107016321A CN 201610058001 A CN201610058001 A CN 201610058001A CN 107016321 A CN107016321 A CN 107016321A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0254—Targeted advertisements based on statistics
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- 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
- G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
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- 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
- G06V40/168—Feature extraction; Face representation
- G06V40/169—Holistic features and representations, i.e. based on the facial image taken as a whole
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- 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
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
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Abstract
The invention discloses a kind of commercial cabinet personnel flow detection statistical method, including：（1）, the camera that is arranged on commercial cabinet front panel detects to passing by the crowd before commercial cabinet；（2）, detection crowd whether enter detection range, if so, perform step（3）, otherwise, return to step（1）；（3）, target group is identified, identify age, the sex of the personnel of each in target group, sent by network to server, the server statistics go out in target group accounting example highest age bracket and sex.The commercial cabinet personnel flow detection statistical method of the present invention, by the way that target group is identified, identify age, the sex of the personnel of each in target group, sent by network to server, the server statistics go out accounting example highest age bracket and sex in target group, the maximum potential key customer of quantity is excavated according to statistical information, and is targetedly delivered product, the sales volume of product can be greatly improved.
Description
Technical field
It is to be related to a kind of commercial cabinet personnel flow detection statistical method specifically the present invention relates to a kind of detection statistics method.
Background technology
At present, business is super or market in existing commercial cabinet as just the storage device of drink, function is single, often because the species of drink in commercial cabinet is improper, many users are caused to open after cabinet because the drink put is improper without buying so that brand business loses many consumers.Under current intelligentized tide, because brand business lacks statistical analysis to the crowd passed through before commercial cabinet, potential customers can not be excavated and had and targetedly deliver commodity, cause the commercial value that commercial cabinet is produced at present less, current personnel's flow statistical method is realized generally by the intensive method of real-time of three-dimensional depth map flow of the people.It obtains three dimensional depth diagram data by video camera, and obtains preliminary number of people target from foreground extraction and the detection of number of people target area；Pedestrian is tracked and movement locus is recorded；Number and the direction of motion are judged according to trace information.The shortcoming of this mode is can to obtain the people flow rate statistical of high accuracy using three dimensional depth diagram data, but can only detect the bustling degree for passing by the region, it is impossible to which the crowd of detection is segmented into classification, therefore can not more targeted dispensing product.
In addition, posting poster on commercialization cabinet at present or being provided with display screen is used to show advertisement, set location, the height of poster or display screen are also relatively more random, typically it is configured according to the size of commercial cabinet, without science, do not know whether at the sight focus of holdee, cause dispensing advertising results to fall flat.
The content of the invention
The present invention lacks statistical analysis to solve existing commercial cabinet product release shortage to the crowd passed through before commercial cabinet, product release is caused to cause the sales volume of the product low without purpose, the problem of commercial cabinet existent value is little, a kind of commercial cabinet personnel flow detection statistical method is proposed, can be solved the above problems.
In order to solve the above-mentioned technical problem, the present invention is achieved using following technical scheme：
A kind of commercial cabinet personnel flow detection statistical method, comprises the following steps：
（1）, the camera that is arranged on commercial cabinet front panel detects to passing by the crowd before commercial cabinet；
（2）, detection crowd whether enter detection range, if so, perform step（3）, otherwise, return to step（1）, wherein, the crowd into detection range is target group；
（3）, target group is identified, identify age, the sex of the personnel of each in target group, sent by network to server, the server statistics go out in target group accounting example highest age bracket and sex.
Further, in the step（3）Afterwards, in addition to step（4）, judge whether the personnel of each in target group are resident, if so, then adjust camera, perform and sight detection carried out to resident personnel；
The sight detection comprises the following steps：The position of the resident personnel's sight focus on commercial cabinet of detection, resident personnel are identified simultaneously, age of each resident personnel, sex are identified respectively and are sent by network to server, the server statistics go out resident personnel's accounting example highest age bracket and sex, while counting resident personnel's sight focus ratio highest region on commercial cabinet.
Further, the step（2）In, the method for judging resident personnel is that continuous some frames can grab the sight of same personnel in target group in camera acquired image, then it is resident personnel to be judged as the personnel.
Further, the step（2）In, the distance of the commercial cabinet of crowd's distance is measured by way of image ranging, and judge whether to enter detection range.
Further, the step（3）Or step（4）In, the age knows method for distinguishing first to extract the global characteristics of facial image using 2DPCA algorithms, and the then conversion to the local feature progress Gabor wavelet of face is extracted, and is merged with ocular, age identification is carried out in decision level.
Further, the step（3）Or step（4）In, the recognition methods of sex is：
A, image detect the face in image with Adaboost fast face detection algorithms, cut out face from background；
B, the positioning for carrying out eyes, facial positions are determined using eyes positioning mode, and facial principal character point is found using AAM algorithms；
C, search out face feature point after, carry out sub-district area image cutting further according to these positions, realize the sex identification merged based on subregion.
Compared with prior art, advantages and positive effects of the present invention are：The commercial cabinet personnel flow detection statistical method of the present invention, by the way that target group is identified, identify age, the sex of the personnel of each in target group, sent by network to server, the server statistics go out accounting example highest age bracket and sex in target group, the maximum potential key customer of quantity is excavated according to statistical information, and is targetedly delivered product, the sales volume of product can be greatly improved.
It is read in conjunction with the figure after the detailed description of embodiment of the present invention, the other features and advantages of the invention will become clearer.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, the required accompanying drawing used in embodiment or description of the prior art will be briefly described below, apparently, drawings in the following description are only some embodiments of the present invention, for those of ordinary skill in the art, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of embodiment flow chart of commercial cabinet personnel flow detection statistical method proposed by the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art are obtained under the premise of creative work is not made belongs to the scope of protection of the invention.
Embodiment one, the present embodiment proposes a kind of commercial cabinet personnel flow detection statistical method, as shown in figure 1, comprising the following steps：
S1, the camera being arranged on commercial cabinet front panel are detected to passing by the crowd before commercial cabinet；
Whether S2, detection crowd enter detection range, if so, step S3 is performed, otherwise, return to step S1, wherein, the crowd into detection range is target group；
S3, target group is identified, identifies age, the sex of the personnel of each in target group, sent by network to server, the server statistics go out accounting example highest age bracket and sex in target group.
Brand business can divide according to the data of detection to the crowd in the region, for example the children population in the region is in the majority by analysis, that drink delivered in the commercial cabinet in the region is needed based on children's drink, the drink of suitable children can be delivered, so accomplish reasonably to supply, the advertisement on corresponding commercialization cabinet is also based on children's drink advertisement.The commercial cabinet personnel flow detection statistical method of the present embodiment, by the way that target group is identified, identify age, the sex of the personnel of each in target group, sent by network to server, the server statistics go out accounting example highest age bracket and sex in target group, the maximum potential key customer of quantity is excavated according to statistical information, and is targetedly delivered product, the sales volume of product can be greatly improved.
Wherein, communication of the commercial cabinet with server can be sent by way of wired or wireless network.
It is used as a preferred embodiment, in order to improve the advertisement viewing rate delivered on commercial cabinet, also need to sight focal position of the further analysis by commercial cabinet personnel, namely, based on statistical principle, count position and height that people are easier concern, the viewing rate for delivering advertisement is improved to greatest extent, and then improve advertising results, after the step S3, in addition to step S4, judge whether the personnel of each in target group are resident, if, camera is then adjusted, performs and sight detection is carried out to resident personnel.
The sight detection comprises the following steps：The position of the resident personnel's sight focus on commercial cabinet of detection, resident personnel are identified simultaneously, age of each resident personnel, sex are identified respectively and are sent by network to server, the server statistics go out resident personnel's accounting example highest age bracket and sex, while counting resident personnel's sight focus ratio highest region on commercial cabinet.Position and height that people are easier concern can be counted by being detected and being counted by sight, namely the optimum position of display screen or post ads poster is installed, and by counting resident personnel's accounting example highest age bracket and sex, ad content can targetedly deliver the advertisement of the suitable age and sex, advertising results can be further improved again, be that brand business creates bigger value.
Wherein, the implementation of sight detection can be realized by camera, or by setting eye tracker to realize on commercial cabinet, sight detection mode is not limited to realize using a certain specific hardware configuration in the present embodiment.
In the step S2, the method for judging resident personnel is that continuous some frames can grab the sight of same personnel in target group in camera acquired image, then it is resident personnel to be judged as the personnel.If persistently being rested on commercial cabinet by personnel's sight of commercial cabinet, resident personnel can be determined as, it is used as the potential spectators for delivering advertisement, the present embodiment can be grabbed in target group continuous some frames in camera acquired image to be judged by way of the sight of same personnel, it is scientific and reasonable, not necessarily undesired process personnel stop, continuous some frames can capture sight and accordingly be adjusted according to the frequency acquisition of camera, such as, the frame number of high speed camera should be corresponding more than the frame number of low speed camera.
In the step S2, the distance of the commercial cabinet of crowd's distance is measured by way of image ranging, and judges whether to enter detection range.
Because face skull does not have too big change substantially after people is 18 years old, it is possible thereby to find that face's change facial feature points and ratio change before 18 years old are main embodiments, and the change of age face is mainly embodied after 18 years old by the change of face texture.In step S3 described in the present embodiment or step S4, the age knows method for distinguishing and is：The global characteristics of facial image are extracted using 2DPCA algorithms first, the then conversion to the local feature progress Gabor wavelet of face is extracted, and is merged with ocular, age identification is carried out in decision level.Age recognition methods in the technical program is not limited to the above method, it would however also be possible to employ other method is realized.
During practical application, the method for the other automatic identification of progressive has a variety of, and in the step S3 or step S4 of the present embodiment, the recognition methods of sex is：
A, image detect the face in image with Adaboost fast face detection algorithms, cut out face from background；
B, the positioning for carrying out eyes, facial positions are determined using eyes positioning mode, and facial principal character point is found using AAM algorithms；
C, search out face feature point after, carry out sub-district area image cutting further according to these positions, realize the sex identification merged based on subregion.
It is small using this method amount of calculation, it is possible to achieve the recognition methods in quick identification, the technical program is not limited to the above method, it would however also be possible to employ other method is realized.
Certainly; described above is not limitation of the present invention; the present invention is also not limited to the example above, and the variations, modifications, additions or substitutions that those skilled in the art are made in the essential scope of the present invention should also belong to protection scope of the present invention.
Claims (6)
1. a kind of commercial cabinet personnel flow detection statistical method, it is characterised in that comprise the following steps：
（1）, the camera that is arranged on commercial cabinet front panel detects to passing by the crowd before commercial cabinet；
（2）, detection crowd whether enter detection range, if so, perform step（3）, otherwise, return to step（1）, wherein, the crowd into detection range is target group；
（3）, target group is identified, identify age, the sex of the personnel of each in target group, sent by network to server, the server statistics go out in target group accounting example highest age bracket and sex.
2. commercial cabinet personnel flow detection statistical method according to claim 1, it is characterised in that in the step（3）Afterwards, in addition to step（4）, judge whether the personnel of each in target group are resident, if so, then adjust camera, perform and sight detection carried out to resident personnel；
The sight detection comprises the following steps：The position of the resident personnel's sight focus on commercial cabinet of detection, resident personnel are identified simultaneously, age of each resident personnel, sex are identified respectively and are sent by network to server, the server statistics go out resident personnel's accounting example highest age bracket and sex, while counting resident personnel's sight focus ratio highest region on commercial cabinet.
3. commercial cabinet personnel flow detection statistical method according to claim 2, it is characterised in that the step（2）In, the method for judging resident personnel is that continuous some frames can grab the sight of same personnel in target group in camera acquired image, then it is resident personnel to be judged as the personnel.
4. commercial cabinet personnel flow detection statistical method according to claim 1, it is characterised in that the step（2）In, the distance of the commercial cabinet of crowd's distance is measured by way of image ranging, and judge whether to enter detection range.
5. commercial cabinet personnel flow detection statistical method according to claim 2, it is characterised in that the step（3）Or step（4）In, the age knows method for distinguishing first to extract the global characteristics of facial image using 2DPCA algorithms, and the then conversion to the local feature progress Gabor wavelet of face is extracted, and is merged with ocular, age identification is carried out in decision level.
6. commercial cabinet personnel flow detection statistical method according to claim 5, it is characterised in that the step（3）Or step（4）In, the recognition methods of sex is：
A, image detect the face in image with Adaboost fast face detection algorithms, cut out face from background；
B, the positioning for carrying out eyes, facial positions are determined using eyes positioning mode, and facial principal character point is found using AAM algorithms；
C, search out face feature point after, carry out sub-district area image cutting further according to these positions, realize the sex identification merged based on subregion.
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| CN201610058001.0A CN107016321A (en) | 2016-01-28 | 2016-01-28 | Commercial cabinet personnel flow detection statistical method |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107545249A (en) * | 2017-08-30 | 2018-01-05 | 国信优易数据有限公司 | A kind of population ages' recognition methods and device |
| CN108090452A (en) * | 2017-12-20 | 2018-05-29 | 贵阳宏益房地产开发有限公司 | Personnel statistical method and device |
| CN108491773A (en) * | 2018-03-12 | 2018-09-04 | 中国工商银行股份有限公司 | A kind of recognition methods and system |
| CN108875678A (en) * | 2018-06-29 | 2018-11-23 | 上海小蚁科技有限公司 | The concern number of subject matter determines method and device, storage medium, terminal |
| CN109087133A (en) * | 2018-07-24 | 2018-12-25 | 广东金熙商业建设股份有限公司 | A kind of behavior guidance analysis system and its working method based on context aware |
| CN110675179A (en) * | 2018-07-03 | 2020-01-10 | 百度在线网络技术（北京）有限公司 | Marketing information processing method and device, electronic equipment and readable storage medium |
| CN112036388A (en) * | 2020-11-06 | 2020-12-04 | 华东交通大学 | Multi-user experience control method and device based on VR equipment and readable storage medium |
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| CN104881642A (en) * | 2015-05-22 | 2015-09-02 | 海信集团有限公司 | Method and device for content pushing, and equipment |
| CN105160321A (en) * | 2015-09-05 | 2015-12-16 | 深圳市飞思未来云媒体科技有限公司 | Vision-and-wireless-positioning-based mobile terminal identity verification method |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107545249A (en) * | 2017-08-30 | 2018-01-05 | 国信优易数据有限公司 | A kind of population ages' recognition methods and device |
| CN108090452A (en) * | 2017-12-20 | 2018-05-29 | 贵阳宏益房地产开发有限公司 | Personnel statistical method and device |
| CN108491773A (en) * | 2018-03-12 | 2018-09-04 | 中国工商银行股份有限公司 | A kind of recognition methods and system |
| CN108875678A (en) * | 2018-06-29 | 2018-11-23 | 上海小蚁科技有限公司 | The concern number of subject matter determines method and device, storage medium, terminal |
| CN110675179A (en) * | 2018-07-03 | 2020-01-10 | 百度在线网络技术（北京）有限公司 | Marketing information processing method and device, electronic equipment and readable storage medium |
| CN109087133A (en) * | 2018-07-24 | 2018-12-25 | 广东金熙商业建设股份有限公司 | A kind of behavior guidance analysis system and its working method based on context aware |
| CN112036388A (en) * | 2020-11-06 | 2020-12-04 | 华东交通大学 | Multi-user experience control method and device based on VR equipment and readable storage medium |
| CN112036388B (en) * | 2020-11-06 | 2021-01-15 | 华东交通大学 | Multi-user experience control method and device based on VR equipment and readable storage medium |
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