WO2023155496A1 - Procédé et appareil de statistique de trafic, ainsi que dispositif informatique et support de stockage - Google Patents

Procédé et appareil de statistique de trafic, ainsi que dispositif informatique et support de stockage Download PDF

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WO2023155496A1
WO2023155496A1 PCT/CN2022/130956 CN2022130956W WO2023155496A1 WO 2023155496 A1 WO2023155496 A1 WO 2023155496A1 CN 2022130956 W CN2022130956 W CN 2022130956W WO 2023155496 A1 WO2023155496 A1 WO 2023155496A1
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target
target area
area
heat map
objects
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PCT/CN2022/130956
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Chinese (zh)
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孙贺然
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上海商汤智能科技有限公司
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Publication of WO2023155496A1 publication Critical patent/WO2023155496A1/fr

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Definitions

  • the present disclosure relates to the technical field of computers, and in particular, to a traffic statistics method and device, computer equipment, and storage media.
  • the heat map is an intuitive way to reflect the traffic information of the target area. Users can manage the personnel and goods in the target area based on the generated heat map corresponding to the target area. However, in the prior art, it is difficult to accurately count the number of migrants in the target area, resulting in the disadvantage of poor accuracy in the heat map corresponding to the generated target area.
  • Embodiments of the present disclosure at least provide a traffic statistics method and device, computer equipment, and a storage medium.
  • an embodiment of the present disclosure provides a traffic statistics method, including: acquiring at least one target image corresponding to a target area within a preset time period; based on the at least one target image, determining The first number of objects corresponding to each position of , and the residence time of each object at the corresponding position; The residence time of the location is used to obtain the second number of objects corresponding to the location; based on the second number corresponding to each location in the target area, heat map statistics of object traffic in the target area are generated .
  • each object included in each target image and the position of each object in the target area can be determined, and then each object in the target area can be determined.
  • the first number of objects corresponding to each location, and then according to the shooting time of each target image accurately determine the residence time of each object at each location.
  • the second number of objects corresponding to the location can be flexibly and accurately determined. Based on the accurate second quantity, accurate heat map statistical information corresponding to the target area can be generated.
  • the method before generating the heat map statistics information of object traffic in the target area, the method further includes: performing object recognition on the at least one target image, and determining the at least one The object attribute of each object in the target image; the generating the thermal map statistical information of the object flow in the target area based on the second quantity corresponding to each position in the target area includes: based on the target area The second quantity corresponding to each position in the target area and the object attributes of each object are used to generate the heat map statistical information of the object flow in the target area; the heat map statistical information includes the information used to characterize the target A heat map of object traffic corresponding to the area and/or statistical information of objects in the target area in different statistical dimensions.
  • the object attributes of each object with a human face in the target image can be determined, such as attributes such as age and gender, and further, based on the determined object attributes, the target area can be generated.
  • Object traffic including not only the heat map but also the statistical information of the object attributes in different statistical dimensions, such as the number of boys corresponding to the target area, the proportion of boys, the number of girls, the proportion of girls, and the number of girls of each age group Statistical information such as population proportion.
  • the method further includes: displaying the first heat map corresponding to the heat map statistical information; responding to the The area editing operation of the first heat map determines the information acquisition area; wherein the information acquisition area is a sub-area of the target area; in response to the statistical information acquisition request initiated for the information acquisition area, based on the information acquisition Obtain and display target statistical information corresponding to the information acquisition area for each object's object attribute, stay time and the second number of objects corresponding to each position in the information acquisition area corresponding to each position in the area.
  • the user's flexible editing operation on the heat map can be realized, and based on the response to the obtained statistical information acquisition request, the target statistical information corresponding to the information acquisition area can be determined and displayed, so that , which can meet the user's statistical needs for the information acquisition area, flexibly generate and display the target statistical information of the area, and improve the user experience.
  • the determining the first number of objects corresponding to each position in the target area based on the at least one target image includes: acquiring a target map corresponding to the target area; For each target image, based on the target image and the target map, determine a coordinate transformation relationship between a camera coordinate system corresponding to the camera device that captures the target image and a map coordinate system corresponding to the target map; Based on each of the target images and the coordinate transformation relationship corresponding to each of the target images, the first number of objects corresponding to each position in the target area is determined.
  • the generating the heat map statistical information of object traffic in the target area based on the second quantity corresponding to each position in the target area includes: Each heat value interval set by the first heat map corresponding to the heat map statistical information and the rendering method corresponding to each heat value interval; based on the second quantity corresponding to each position in the target area, each heat value Value intervals and rendering methods corresponding to each of the thermal value intervals, generate the first heat map, and use the first heat map as the heat map statistical information.
  • each thermal value interval flexibly set by the user, it is possible to accurately determine the thermal value interval to which the second quantity of each location belongs, and further, based on the thermal value interval set by the user, the corresponding The rendering method of each location and the heat value interval to which the second quantity of each position belongs can determine the rendering method corresponding to each position, so that based on the determined rendering method, the first heat value corresponding to the target area that conforms to the user's settings can be accurately generated picture.
  • the method further includes: in response to receiving a filtering request, based on the heat map statistical information and The attribute of the target object indicated by the filtering request is used to determine a third quantity of objects at each position that match the attribute of the target object; based on the determined third quantity, a second heat map is generated and displayed.
  • the method further includes: the thermal value corresponding to the sub-area in the target area exceeds a predetermined When the value is set, an exception prompt message is generated.
  • the preset value is used to represent the maximum thermal value of a certain sub-area
  • the thermal value is used to represent the flow rate of the object.
  • flow risks for example, risks such as object crushing and trampling
  • users corresponding to the target area can be notified, so that users can control objects in this sub-area and realize risk management.
  • Reasonable circumvention improves the safety of object flow in the target area.
  • the method further includes: based on the first thermal map corresponding to the thermal map statistical information, according to In descending order, sort the thermal values corresponding to each sub-area in the target area; use the sub-area whose sorting order is higher than the preset order as the popular area in the target area, and based on the popular area, determining popular routes in the target area.
  • the size relationship of the object traffic of each sub-area can be determined, and the sub-area with a large object traffic can be screened out by using the preset order, and this sub-area can be regarded as a popular area. It is beneficial for the user to plan the location of the exhibits (such as commodities) according to the popular area; and, based on each popular area, the popular route corresponding to the popular area can be determined. Based on the popular route and popular area, the user can realize the service provider's Location planning, for example, arrange more service personnel at locations corresponding to popular routes and popular areas, and arrange fewer service personnel at other locations.
  • the method further includes: based on the stay time of the object at the corresponding location and the exhibits corresponding to the corresponding location, determine The object's attention information.
  • the exhibits that the object is concerned about can be determined, that is, the exhibits that the object is interested in can be determined, so that based on the determined object's attention information, relevant products can be recommended to each object. Exhibits, on the basis of improving user experience, can also improve the efficiency of the target area.
  • the method further includes: based on the heat map statistical information, determining the corresponding The first location planning information of the service provider and/or the second location planning information of the exhibit.
  • the thermal value of each location corresponding to the target area and the object attributes of the objects corresponding to each location can be determined, which can realize the reasonable planning of the service provider corresponding to the target area at each location, and Realize the reasonable planning of the exhibits corresponding to the target area at each location.
  • more service providers and popular sales products can be arranged in locations with high thermal value. For example, in locations with more children, place For example, displays of children's toys, children's snacks, etc.
  • obtaining the second number of objects corresponding to the location based on the first number of objects corresponding to the location and the stay time of each object at the location includes: obtaining a preset time The conversion relationship between the unit and the number of objects; based on the residence time of each object at the location and the conversion relationship, determine the target number corresponding to each of the objects; compare the target number corresponding to each of the objects with the The first numbers are added to obtain the second number of objects corresponding to the positions.
  • the embodiment of the present disclosure also provides a traffic statistics device, including: an acquisition module, configured to acquire at least one target image corresponding to a target area within a preset time period; a first determination module, configured to At least one target image, determining the first number of objects corresponding to each position in the target area, and the residence time of each object at the corresponding position; the second determination module is used for each of the target areas position, based on the first number of objects corresponding to the position and the residence time of each object at the position, the second number of objects corresponding to the position is obtained; the generation module is used to obtain the second number of objects corresponding to the position based on the number of objects in the target area For the second quantity corresponding to each location, heat map statistical information of object traffic in the target area is generated.
  • an acquisition module configured to acquire at least one target image corresponding to a target area within a preset time period
  • a first determination module configured to At least one target image, determining the first number of objects corresponding to each position in the target area, and the residence time of
  • the first determination module is further configured to perform object recognition on the at least one target image before generating the heat map statistics information of object traffic in the target area, and determine The object attribute of each object in the at least one target image; the generating module is configured to generate the target based on the second quantity corresponding to each position in the target area and the object attribute of each object The heat map statistical information of object traffic in the area; the heat map statistical information includes a heat map representing the object traffic corresponding to the target area and/or statistical information of objects in the target area in different statistical dimensions .
  • the device further includes a display module, configured to display a first heat map corresponding to the heat map statistical information after generating the heat map statistical information of object traffic in the target area ; and displaying target statistical information corresponding to the information acquisition area; the generating module is configured to determine an information acquisition area in response to an area editing operation on the first heat map; wherein the information acquisition area is the target A sub-area of the area; in response to the statistical information acquisition request initiated for the information acquisition area, based on the object attribute, residence time of each object corresponding to each position in the information acquisition area and the information acquisition area in the information acquisition area The second number of objects corresponding to each position is used to obtain the target statistical information corresponding to the information acquisition area.
  • a display module configured to display a first heat map corresponding to the heat map statistical information after generating the heat map statistical information of object traffic in the target area ; and displaying target statistical information corresponding to the information acquisition area
  • the generating module is configured to determine an information acquisition area in response to an area editing operation on the first heat map; wherein the information
  • the first determining module is configured to acquire a target map corresponding to the target area; The coordinate transformation relationship between the camera coordinate system corresponding to the camera device of the target image and the map coordinate system corresponding to the target map; based on each of the target images and the coordinate transformation relationship corresponding to each of the target images, determine Each location in the target area corresponds to a first number of objects.
  • the generating module is configured to acquire each heat value interval set for the first heat map corresponding to the heat map statistical information and a rendering method corresponding to each heat value interval; based on the The second quantity corresponding to each position in the target area, each of the heat value intervals, and the rendering method corresponding to each of the heat value intervals, generate the first heat map, and convert the first heat map to As the heat map statistics.
  • the generating module is further configured to, in response to receiving the screening request, determine the distance between each of the positions based on the heat map statistics and the target object attributes indicated by the screening request The third number of objects whose attributes match the target object; based on the determined third number, a second heat map is generated; the display module is configured to display the second heat map.
  • the generation module is further configured to, after generating the heat map statistics information of object traffic in the target area, determine the heat value corresponding to the sub-area in the target area When the preset value is exceeded, an abnormal prompt message is generated.
  • the device further includes: a third determining module, configured to correspond to The first thermal map of the target area, sort the thermal values corresponding to each sub-area in the target area in order from large to small; use the sub-area whose sorting order is higher than the preset order as the hot spots in the target area area, and based on the popular area, determine a popular route in the target area.
  • a third determining module configured to correspond to The first thermal map of the target area, sort the thermal values corresponding to each sub-area in the target area in order from large to small; use the sub-area whose sorting order is higher than the preset order as the hot spots in the target area area, and based on the popular area, determine a popular route in the target area.
  • the device further includes: a fourth determination module, configured to, after determining the dwell time of each object at the corresponding position, based on the stay time of the object at the corresponding position and the corresponding The exhibit corresponding to the position determines the attention information of the object.
  • a fourth determination module configured to, after determining the dwell time of each object at the corresponding position, based on the stay time of the object at the corresponding position and the corresponding The exhibit corresponding to the position determines the attention information of the object.
  • the device further includes: a fifth determining module, configured to, after generating the heat map statistical information of object traffic in the target area, based on the heat map statistical information, The first location planning information of the service provider and/or the second location planning information of the exhibit corresponding to the target area are determined.
  • an optional implementation manner of the present disclosure further provides a computer device, a processor, and a memory, the memory stores machine-readable instructions executable by the processor, and the processor is used to execute the instructions stored in the memory. machine-readable instructions, when the machine-readable instructions are executed by the processor, when the machine-readable instructions are executed by the processor, the above-mentioned first aspect is executed, or any possible implementation of the first aspect steps in the method.
  • an optional implementation manner of the present disclosure further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the above-mentioned first aspect, or any one of the first aspects in the first aspect, may be executed. Steps in one possible implementation.
  • FIG. 1 shows a flowchart of a traffic statistics method provided by an embodiment of the present disclosure
  • FIG. 2 shows a flow chart of a traffic statistics method provided by an embodiment of the present disclosure
  • FIG. 3 shows a schematic diagram of a first thermal map provided by an embodiment of the present disclosure for display
  • Fig. 4 shows a step of determining the first number of objects corresponding to each position in the target area provided by an embodiment of the present disclosure
  • Fig. 5 shows a schematic diagram of a traffic statistics device provided by an embodiment of the present disclosure
  • FIG. 6 shows a schematic structural diagram of a computer device provided by an embodiment of the present disclosure.
  • the heat map is an intuitive way to reflect the flow of people in the target area. Users can manage the personnel and goods in the target area based on the generated heat map corresponding to the target area.
  • the heat map corresponding to the generated target area has the disadvantage of poor accuracy.
  • the present disclosure provides a traffic statistics solution, based on each target image in at least one target image, each object included in each target image and the position of each object in the target area can be determined, Furthermore, the first number of objects corresponding to each position in the target area can be determined, and then the residence time of each object at each position can be accurately determined according to the shooting time of each target image. Then, for each location in the target area, based on the first number corresponding to the location and the stay time of each object at the location, the second number of objects corresponding to the location can be flexibly and accurately determined. Based on the accurate second quantity, accurate heat map statistical information corresponding to the target area can be generated.
  • CAD Computer Aided Design
  • computer-aided design a technology that uses a computer and its graphics equipment to help designers perform design work.
  • the execution subject of the traffic statistics method provided by the embodiments of the present disclosure is generally a computer device with certain computing capabilities.
  • the traffic statistics method can be implemented by calling a computer-readable instruction stored in a memory by a processor. to fulfill.
  • the traffic statistics method provided by the embodiment of the present disclosure will be described below by taking the execution subject as a computer device as an example.
  • FIG. 1 it is a flowchart of a traffic statistics method provided by an embodiment of the present disclosure, which may include the following steps S101 to S104.
  • S101 Acquire at least one target image corresponding to the target area within a preset time period.
  • the target area is an area where object traffic statistics need to be performed.
  • the target area may be a shopping mall, a restaurant, a bank, a tourist attraction, an urban area, and other areas with a certain flow of people.
  • the object can be a person, for example, a customer of a shopping mall, a visitor of a tourist attraction, etc., or an animal, for example, a protected animal in a protected area, etc.
  • Objects can have different attributes. Taking people as an example, objects can be divided into women and men according to the dimension of the gender attribute, and can be divided into teenagers and elderly people according to the dimension of the age attribute. There may be multiple different movable objects in the target area, and each movable object may appear at any one or multiple time points.
  • the target image is an image of at least a part of the target area captured by at least one camera installed in the target area within a preset time period (according to a preset time interval), or it may be an image from at least one camera installed in the target area An image extracted from a target video captured by a device, wherein the target image includes one or more objects.
  • the preset time period can be a predetermined time period that requires object traffic statistics, for example, the time period from 9:00 am to 3:00 pm on the same day, the time period from 12:00 am to 1:00 pm, etc., or , a shorter period of time such as 10 seconds, 2 seconds, or a moment such as the current moment, the specific period of time can be determined according to statistical needs, and is not limited here.
  • the preset time period may also be a preset time period for automatically performing object traffic statistics. For example, statistics are performed every hour, and the preset time period is one hour; statistics are performed once a day, and the preset time period is one day; statistics are performed every second, and the preset time period is one second, and so on.
  • At least one target image including the object captured by the camera device in the target area within the preset time period can be acquired.
  • S102 Based on at least one target image, determine a first number of objects corresponding to each position in the target area, and a dwell time of each object at the corresponding position.
  • the first number is the counted number of objects that have appeared at a certain position in the target area, that is, reflects the number of objects that actually exist.
  • each object appearing in the target image and the position of each object in the target image can be determined; furthermore, based on the position in the target image and The position conversion relationship between the positions in the target area and the positions of each object in the target image can determine the corresponding position of each object appearing in the target image in the target area. Therefore, the object corresponding to each position in the target area and the first quantity of the objects can be determined.
  • the same target object that appears in different target images and corresponds to the same position of the target area can be determined, and then, for each target object, based on the target object Corresponding to the shooting time of different target images, filter out at least two consecutive images in time sequence, and use the continuous at least two images as an image group, and when the number of different target images corresponding to the target object is large
  • multiple image groups may be determined, and each image group includes at least two consecutive images in time sequence.
  • the shooting times of different target images corresponding to the target object are time t1, time t2, time t3, time t7, time t8, time t12, time t15, and time t16, wherein time t1, time t2 and time t3 are consecutive t7 and t8 are two consecutive moments, t15 and t16 are two consecutive moments; and then it can be determined that the image group corresponding to the target object includes: the shooting time is t1, t2, t3
  • the target image at time corresponds to image group 1
  • the target images captured at time t7 and t8 correspond to image group 2
  • the target images captured at time t15 and t16 correspond to image group 3.
  • the residence time of the target object at this position can be a preset time, for example ,1 second.
  • the single target image at time t12 itself can be used as an image group for subsequent dwell time statistics.
  • the dwell time of the target object corresponding to each image group at this position can be determined, and then, the sum of the dwell time corresponding to each image group can be used as the target object Dwell time at this location.
  • the dwell time of the object at each position is a preset time, for example, 1 second.
  • the preset time is only an example, and may also be 0 seconds, 5 seconds and so on.
  • the dwell time of each object corresponding to at least one target image at each position can be determined.
  • each object corresponding to the position for each position in the target area, each object corresponding to the position, the first number of objects corresponding to the position, and the residence time of each object at the position can be determined, wherein the position corresponds to Each object may include some objects whose stay time at the position is a preset time (for example, the aforementioned objects whose stay time is 1 second).
  • the target number corresponding to each object can be determined respectively.
  • the conversion relationship between the preset time unit and the number of objects can be that 1 minute corresponds to 1 object.
  • the residence time corresponding to a certain object is determined to be 10 minutes, it can be determined according to the conversion relationship.
  • the target number is 10. That is, if an object stays at a certain location for 10 minutes, it means that 10 objects stay at the location within 10 minutes.
  • the 10 objects here are determined through the conversion relationship, not the 10 objects that actually exist.
  • the target quantity corresponding to each object can be determined based on the residence time of each object corresponding to the position, and then the target quantity of each object can be compared with the first corresponding to the position.
  • the quantities are added to determine a second quantity of the object corresponding to the position. That is, the second number is the number obtained after processing the first number of objects at the corresponding position.
  • the heat map statistics are used to control the objects in the target area.
  • the heat map statistical information may include a heat map corresponding to the target area, and may also include statistical information corresponding to the target area, wherein the heat value of a position in the heat map is related to the second number of objects corresponding to the position.
  • the statistical information may be the second quantity of objects corresponding to each position in the target area, the object identifier of the object corresponding to each position, the total number of objects corresponding to the target area, the average residence time of each position in the target area, The average stay time of each object at each position, the position corresponding to the maximum stay time of each object and other information, the specific statistical information can be set according to statistical needs, and is not limited here.
  • the heat value corresponding to each position can be determined according to the second number of objects corresponding to each position in the determined target area. For example, when the second number is 1, the corresponding heat value is 1. After that, Based on the determined heat value corresponding to each location, the heat map statistics information of the object flow in the target area may be generated. In addition, according to information such as the residence time of each object at each location, the average residence time corresponding to each object can be determined, and based on the second quantity corresponding to each location, the total number of objects corresponding to the target area can be determined, etc. Statistics.
  • the heat map and/or statistical information can be displayed to the user, so that the user can manage and control the objects in the target area according to the heat map and/or statistical information. For example, when the target area is a shopping mall and the objects are customers, based on the heat map and/or statistical information, the location where the heat value (that is, the object traffic) is too large can be drained to avoid crowding of customers, or It is possible to increase the service staff in the position where the heat value is too large to improve the shopping experience of customers.
  • the heat map statistics can more comprehensively reflect the overall situation of the object traffic corresponding to the target area. Further, it is beneficial to realize reasonable management and control of objects in the target area based on the statistical information of the heat map.
  • the target area before generating the heat map statistics information of the object traffic in the target area, it further includes:
  • Object recognition is performed on at least one target image, and object attributes of each object corresponding to the at least one target image are determined.
  • the object attributes may include attributes such as age, gender, and object identification of the object.
  • object recognition can be performed on the target image, for example, face recognition can be performed on objects appearing in the target image, and based on the result of face recognition, the object of each object in the target image can be determined Attributes. Therefore, based on the object recognition performed on each target image, the object attribute of each object corresponding to each target image can be determined.
  • the object recognition cannot be performed on the object, that is, the object attribute of the object cannot be determined, and thus, the heat map information
  • heat map statistical information of object traffic in the target area may be generated.
  • the heat map statistical information includes a heat map of object traffic in the target area and/or statistical information of objects in the target area in different statistical dimensions.
  • the aforementioned statistical dimensions may include, for example, age, gender and so on.
  • a heat map of object traffic in the target area may be generated according to the determined second quantity, and statistical information of objects in the target area under different statistical dimensions may be determined according to the determined object attributes of each object. For example, the number of male objects and the number of female objects corresponding to the target area can be determined according to the determined gender information of each object, and the number of objects corresponding to each age group in the target area can be determined according to the determined age of each object .
  • the method may further include steps S1 to S3.
  • the heat map statistical information may include the first heat map corresponding to the target area. Therefore, after the heat map statistical information is generated, the first heat map may be displayed to the user, so that the user may Graph to intuitively obtain the object traffic information corresponding to the target area within the preset time period.
  • the first heat map may be displayed to the user in the form of a page.
  • S2 In response to the area editing operation on the first heat map, determine an information acquisition area; where the information acquisition area is a sub-area of the target area.
  • the user may perform area editing operations on the first heat map, for example, may select a partial area in the first heat map.
  • a preset number of preset area boxes can also be displayed on the page corresponding to the first heat map, wherein the preset area boxes can be edited by the user, and the user can use this Preset the area box to edit the area of the first heat map.
  • an information acquisition area selected by the user on the first heat map is determined.
  • the information acquisition area is a sub-area of the target area.
  • the heat map corresponds to the target area
  • the information acquisition area on the heat map corresponds to a sub-area of the target area.
  • the statistical information acquisition request is a request initiated by the user to acquire the statistical information about the traffic of the object corresponding to the information acquisition area selected by the user.
  • the target statistical information may include information such as the total number of objects corresponding to the information acquisition area, the sex ratio of the objects corresponding to the information acquisition area, age ratio information, and the average stay time of the objects.
  • the sub-area corresponding to the information acquisition area in response to the statistical information acquisition request for the information acquisition area initiated by the user, can be determined, and then, based on the heat map statistics information of the target area and the sub-area corresponding to the information acquisition area , determine each object corresponding to each position of the sub-region, and the second number of objects corresponding to each position, and then, each object and the second number corresponding to each position of the sub-region can be obtained as information Each location in the region corresponds to each object and second quantity.
  • the total number of objects corresponding to the information acquisition area can be determined according to the second quantity corresponding to each position in the determined information acquisition area; according to the gender and the total number of objects in the object attributes of each object corresponding to each position , determine the proportion of objects of each sex corresponding to the information acquisition area; according to the stay time of each object in each position, determine the average stay time of each object in the information acquisition area, and the total average corresponding to the information acquisition area Dwelling time: according to the age in the object attribute of each object, determine the preset age group to which each object belongs, and then determine each age group corresponding to the information acquisition area according to the total number of objects and the number of objects corresponding to each preset age group Information such as the proportion of objects.
  • the determined above-mentioned information can be used as target statistical information corresponding to the information acquisition area, and the target statistical information can be displayed at a preset position of the information acquisition area in the first heat map, for example, directly below the information acquisition area, Just above and so on.
  • FIG. 3 it is a schematic diagram of a first thermal map provided by an embodiment of the present disclosure for display. Wherein, FIG. 3 indicates an information acquisition area, a plurality of preset area frames, and target statistical information corresponding to the information acquisition area.
  • the step of determining the first number of objects corresponding to each position in the target area in S102 may be implemented according to steps S102-1 to S102-3.
  • the target map may be a CAD map corresponding to the target area.
  • the target map corresponding to the target area may be actively uploaded by the user, or may be acquired in real time by using a communication network.
  • S102-2 For each target image, based on the target image and the target map, determine a coordinate transformation relationship between a camera coordinate system corresponding to the camera device that captures the target image and a map coordinate system corresponding to the target map.
  • the coordinate transformation relationship between the camera coordinate system corresponding to the target image and the map coordinate system corresponding to the target map may be determined respectively. It is also possible to determine the target image captured by the same camera from at least one target image in step S101, and then select any target image from the target images captured by the same camera to determine the target image corresponding to The coordinate transformation relationship between the camera coordinate system and the map coordinate system is used as the coordinate transformation relationship between the camera coordinate system and the map coordinate system corresponding to each target image captured by the same camera device.
  • a preset number (for example, 4) can be selected from the target image captured by the camera device , and select the second location points that match each first location point in the target map, and then, based on the first coordinates of each first location point in the camera coordinate system, and each first location point
  • the second coordinates of the two position points in the map coordinate system determine the coordinate transformation relationship between the camera coordinate system corresponding to the camera device and the map coordinate system corresponding to the target map.
  • the location of the object in the target image can be determined based on the object recognition of the target image, and then, based on the coordinate transformation relationship corresponding to the target image, it can be determined that the location of the object corresponds to The position in the target map, and then, based on each target image and the coordinate transformation relationship corresponding to each target image, the position of each object in the target image in the target map can be determined; further, each object in the target map can be determined The number of objects corresponding to positions.
  • the positions in the target map correspond to the positions in the target area, therefore, the determined number of objects corresponding to each position in the target map may be used as the first number of objects corresponding to each corresponding position in the target area.
  • a first heat map is generated, and the first heat map is used as heat map statistical information.
  • the rendering method may include the interval color corresponding to each heat value interval and the interval presentation form, and the interval presentation form may specifically be the presentation shape corresponding to the heat value interval, such as a sector, a rectangle, and the like.
  • the heat value corresponds to the second quantity, for example, what is the numerical value corresponding to the second quantity is the heat value. For example, if the value corresponding to the second quantity is 21, then the heat value is 21. Users can customize the heat value range and the rendering method corresponding to each heat value range.
  • the user can define in advance the heat value interval corresponding to the first heat map, and the rendering method corresponding to each heat value interval, and different heat value intervals correspond to different heat value levels.
  • the heat value range may include: 0-200, 201-400, 401-800, 801-1000, etc., wherein 0-200 may correspond to the first level, and the interval color may be blue; 201-400 may correspond to For the second grade, the interval color can be green; 401 ⁇ 800 can correspond to the third grade, and the interval color can be yellow; 801 ⁇ 1000 can correspond to the fourth grade, and the interval color can be red, and the corresponding presentation shape of each thermal value interval Irregular shapes are possible.
  • the values of the upper and lower limit endpoints of the thermal value range are included in the range of the range.
  • the user can also set each heat value interval of the first heat map corresponding to the heat map statistical information and the rendering method corresponding to each heat value interval while uploading the target map. In this way, while acquiring the target map, each heat value interval and the rendering method corresponding to each heat value interval can be obtained.
  • the heat value corresponding to each position can be determined, and further, based on the heat value corresponding to each position and the set heat value interval, it can be determined that each position corresponds to The heat value interval of each location, and then according to the preset rendering method corresponding to each heat value interval, the color and presentation form corresponding to each position can be determined. Afterwards, based on the determined color, presentation form, and target map of each location, a first heat map can be generated on the target map, and the first heat map can be used as heat map statistical information, and the first heat map can be displayed to the user.
  • the user does not need to set information such as heat value intervals and rendering methods. After determining the second quantity corresponding to each position, the default heat value interval and default rendering method can be used to generate the first The heat map will not be repeated here.
  • the target area after generating the heat map statistics information of the object traffic in the target area, it further includes:
  • the screening request may be initiated by a user, which indicates the target object attribute.
  • a preset attribute filter button may also be displayed at the preset position of the page displaying the first heat map, for example, a gender button, such as "gender: ⁇ male ⁇ female”; an all-select button, such as “ ⁇ all” ;Age button, such as "Age: ⁇ 18 years old, ⁇ 19 ⁇ 29 years old, ⁇ 30 ⁇ 39 years old” and so on.
  • the user may click the corresponding button according to the filtering requirement, and then, in response to the user's clicking operation, the user attribute corresponding to the button clicked by the user may be used as the target object attribute to generate a filtering request.
  • the user can also customize the filter attribute, use the custom filter attribute as the target object attribute and initiate a filter request.
  • the rendering mode corresponding to the position may be determined based on the determined third quantity corresponding to the position, the set heat value range, and the rendering mode corresponding to each heat value range. Therefore, based on the rendering manner corresponding to each location, a second heat map can be generated on the target map and displayed to the user.
  • an abnormal prompt message may also be generated, and the abnormal The prompt information is sent to the user, so that the user can drain the object corresponding to the sub-area based on the abnormal prompt information.
  • the preset value is used to represent the maximum heat value corresponding to a sub-region.
  • a position in the target area may correspond to a sub-area; or, a position in the target area corresponding to an object in the same area may serve as a sub-area.
  • the area object in the target area may be store A, and each location corresponding to store A in the target area may be used as a sub-area in the target area.
  • abnormal prompt information is generated and sent to the user.
  • the users mentioned in the embodiments of the present disclosure may include, but are not limited to, managers of the target area.
  • the generated abnormal prompt information may be sent to the managers in the form of email, short message, or instant message.
  • a bullet box for displaying abnormal prompt information may be generated to prompt users who view the page.
  • the thermal values of each position in the target area can also be obtained based on the first thermal map, and then can be based on each sub-area in the target area corresponding to location, and the heat value of each position in the target area, determine the heat value of each sub-area in the target area, and then sort the heat value of each sub-area in the target area in order from large to small, Determines the corresponding sort order for each subrange.
  • the sub-areas whose sorting order is higher than the preset order can be filtered out from the sub-areas, and the selected sub-areas can be used as popular areas in the target area.
  • the popular route corresponding to the target area can also be determined according to the positions of the filtered popular areas in the target area.
  • the determined popular areas and popular routes can be sent to the user, so that the user can plan the location of the service provider and the location of the exhibits according to the popular areas and popular routes.
  • the merchant can select a store location based on the popular areas and popular routes, thereby ensuring the sales of the store.
  • the stay time can be filtered out from each location where the object stays The target position whose time is greater than the preset time. In this way, by using the preset time, it is possible to filter out the target positions where each object stays for a long time, that is, to filter out the target positions in which the objects are interested.
  • the target exhibits corresponding to the target position can be determined, and then, it can be determined that the object may be interested in the target exhibits, thus, it can be determined based on the target exhibits Output the attention information of the object.
  • the attention information may be information about commodities that the user is interested in.
  • the determined attention information of each object can be sent to the user, so that the user can recommend exhibits to each object according to the attention information.
  • the first location planning information of the service provider corresponding to the target area and/or the first position planning information of the exhibits can be determined based on the heat map statistical information.
  • the first location planning information is the location planning of the service provider (such as service personnel, security personnel) in the target area
  • the second location planning information is the location planning of the exhibits (such as commodities) in the target area.
  • the traffic flow of each sub-area (store) in the shopping mall can be determined, so that the traffic flow of each store can be determined according to the size of the traffic flow of each sub-area.
  • the first location planning information of the corresponding service provider may be location planning information of service personnel and security personnel, for example, in a place with a large flow of people, more service personnel and security personnel are arranged.
  • the traffic flow of each sub-area in the supermarket can be determined, so that the current hot-selling products can be placed in the sub-area with a large traffic flow. And arrange more service personnel, and place unpopular products, such as some hardware products (water pipes, etc.), in sub-areas with less traffic.
  • the writing order of each step does not mean a strict execution order and constitutes any limitation on the implementation process.
  • the specific execution order of each step should be based on its function and possible
  • the inner logic is OK.
  • the embodiment of the present disclosure also provides a flow statistics device corresponding to the flow statistics method. Since the problem-solving principle of the device in the embodiment of the disclosure is similar to the above-mentioned flow statistics method in the embodiment of the disclosure, the implementation of the device Reference can be made to the implementation of the method, and repeated descriptions will not be repeated.
  • FIG. 5 it is a schematic diagram of a traffic statistics device provided by an embodiment of the present disclosure, including:
  • An acquisition module 301 configured to acquire at least one target image corresponding to the target area within a preset time period
  • the first determining module 302 is configured to determine, based on the at least one target image, the first number of objects corresponding to each position in the target area, and the residence time of each object at the corresponding position;
  • the second determining module 303 is configured to, for each position in the target area, obtain the number of objects corresponding to the position based on the first number of objects corresponding to the position and the residence time of each object at the position the second quantity;
  • a generating module 304 configured to generate heat map statistical information of object traffic in the target area based on the second quantity corresponding to each position in the target area.
  • the first determining module 302 is further configured to perform object recognition on the at least one target image before generating the heat map statistics information of object traffic in the target area, and determine object attributes of each object in the at least one target image;
  • the generating module 304 is configured to generate heat map statistical information of object traffic in the target area based on the second quantity corresponding to each position in the target area and the object attribute of each object; the heat map statistical information It includes a heat map for characterizing the traffic of objects corresponding to the target area and/or statistical information of objects in the target area in different statistical dimensions.
  • the device further includes a display module 305, configured to display the first thermal force corresponding to the thermal map statistical information after generating the thermal map statistical information of object traffic in the target area Figure; and displaying target statistical information corresponding to the information acquisition area.
  • a display module 305 configured to display the first thermal force corresponding to the thermal map statistical information after generating the thermal map statistical information of object traffic in the target area Figure; and displaying target statistical information corresponding to the information acquisition area.
  • the generation module 304 is configured to determine an information acquisition area in response to an area editing operation on the first heat map; wherein the information acquisition area is a sub-area of the target area; in response to the information acquisition area
  • the statistical information acquisition request initiated is based on the object attribute of each object corresponding to each position in the information acquisition area, the residence time and the second number of objects corresponding to each position in the information acquisition area, and obtains the The target statistical information corresponding to the above information acquisition area.
  • the first determining module 302 is configured to acquire a target map corresponding to the target area; The coordinate conversion relationship between the camera coordinate system corresponding to the camera device of the target image and the map coordinate system corresponding to the target map; based on each target image and the coordinate conversion relationship corresponding to each target image, A first number of objects corresponding to each position in the target area is determined.
  • the generation module 304 is configured to obtain each heat value interval set for the first heat map corresponding to the heat map statistical information and the rendering mode corresponding to each heat value interval; based on The second quantity corresponding to each position in the target area, each of the thermal value intervals, and the rendering method corresponding to each of the thermal value intervals generate the first thermal map, and convert the first thermal graph as the heatmap statistics.
  • the generating module 304 is further configured to, in response to receiving the filtering request, determine the A third number of objects matching the attribute of the target object; based on the determined third number, a second heat map is generated; the display module 305 is configured to display the second heat map.
  • the generation module 304 is further configured to, after generating the heat map statistics information of the object traffic in the target area, determine the heat power corresponding to the sub-area in the target area When the value exceeds the preset value, an exception prompt message is generated.
  • the device further includes: a third determining module 306, configured to, after generating the heat map statistical information of object traffic in the target area, based on the heat map statistical information Corresponding to the first thermal map, sort the thermal values corresponding to each sub-area in the target area in descending order; use the sub-areas whose sorting order is higher than the preset order as the target area A popular area, and based on the popular area, determine a popular route in the target area.
  • a third determining module 306 configured to, after generating the heat map statistical information of object traffic in the target area, based on the heat map statistical information Corresponding to the first thermal map, sort the thermal values corresponding to each sub-area in the target area in descending order; use the sub-areas whose sorting order is higher than the preset order as the target area A popular area, and based on the popular area, determine a popular route in the target area.
  • the device further includes: a fourth determining module 307, configured to, after determining the dwell time of each object at the corresponding position, based on the stay time of the object at the corresponding position and the The exhibit corresponding to the corresponding position determines the attention information of the object.
  • a fourth determining module 307 configured to, after determining the dwell time of each object at the corresponding position, based on the stay time of the object at the corresponding position and the The exhibit corresponding to the corresponding position determines the attention information of the object.
  • the device further includes: a fifth determining module 308, configured to, after generating the heat map statistical information of object traffic in the target area, based on the heat map statistical information , determining the first location planning information of the service provider and/or the second location planning information of the exhibit corresponding to the target area.
  • a fifth determining module 308 configured to, after generating the heat map statistical information of object traffic in the target area, based on the heat map statistical information , determining the first location planning information of the service provider and/or the second location planning information of the exhibit corresponding to the target area.
  • FIG. 6 is a schematic structural diagram of a computer device provided by an embodiment of the present disclosure, including:
  • processor 41 memory 42 and bus 43 .
  • the processor 41 and the memory 42 are connected through a bus 43;
  • the memory 42 stores machine-readable instructions executable by the processor 41, and the processor 41 is used to execute the machine-readable instructions stored in the memory 42, and the machine-readable
  • the processor 41 performs the following steps: acquire at least one target image corresponding to the target area within a preset time period; A first number of objects, and a dwell time of each object at a corresponding location; for each location in the target area, based on the first number of objects corresponding to the location and the dwell time of each object at the location , determining a second number of objects corresponding to the location; and generating heat map statistical information of object traffic in the target area based on the second number corresponding to each location in the target area.
  • memory 42 comprises memory 421 and external memory 422;
  • Memory 421 here is also called internal memory, is used for temporarily storing the operation data in processor 41, and the data exchanged with external memory 422 such as hard disk, processor 41 communicates with memory 421 through memory 421.
  • the external memory 422 performs data exchange.
  • the processor 41 communicates with the memory 42 through the bus 43, so that the processor 41 executes the execution instructions mentioned in the above method embodiments.
  • Embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is run by a processor, the steps of the traffic statistics method described in the foregoing method embodiments are executed.
  • the storage medium may be a volatile or non-volatile computer-readable storage medium.
  • the computer program product of the traffic statistics method provided by the embodiments of the present disclosure includes a computer-readable storage medium storing program codes, and the instructions included in the program codes can be used to execute the steps of the traffic statistics method described in the above method embodiments
  • the instructions included in the program codes can be used to execute the steps of the traffic statistics method described in the above method embodiments
  • the computer program product can be specifically realized by means of hardware, software or a combination thereof.
  • the computer program product is embodied as a computer storage medium, and in another optional embodiment, the computer program product is embodied as a software product, such as a software development kit (Software Development Kit, SDK) etc. wait.
  • a software development kit Software Development Kit, SDK
  • the disclosed devices and methods may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division.
  • multiple units or components can be combined.
  • some features can be ignored, or not implemented.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium executable by a processor.
  • the technical solution of the present disclosure is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present disclosure.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disc and other media that can store program codes. .

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Abstract

La présente divulgation concerne un procédé et un appareil de statistique de trafic, ainsi qu'un dispositif informatique et un support de stockage. Le procédé consiste : à acquérir au moins une image cible correspondant à une région cible pendant une période de temps prédéfinie ; à déterminer, sur la base de la ou des images cibles, un premier nombre d'objets qui correspond à chaque position dans la région cible, et un temps de séjour de chaque objet à la position correspondante ; pour chaque position dans la région cible, à obtenir, sur la base du premier nombre d'objets qui correspond à la position et du temps de séjour de chaque objet à la position, un second nombre d'objets qui correspond à la position ; et à générer des informations statistiques de carte de chaleur du trafic d'objet de la région cible sur la base du second nombre correspondant à chaque position dans la région cible. Au moyen des modes de réalisation de la présente divulgation, un second nombre d'objets qui correspond à chaque position dans une région cible, peut être déterminé de manière flexible et précise, et des informations statistiques de carte de chaleur précises, qui correspondent au trafic d'objet, de la région cible sont générées.
PCT/CN2022/130956 2022-02-17 2022-11-09 Procédé et appareil de statistique de trafic, ainsi que dispositif informatique et support de stockage WO2023155496A1 (fr)

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