WO2023005231A1 - 用于确定图像采集设备位置的方法、装置、电子设备及存储介质 - Google Patents

用于确定图像采集设备位置的方法、装置、电子设备及存储介质 Download PDF

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WO2023005231A1
WO2023005231A1 PCT/CN2022/081917 CN2022081917W WO2023005231A1 WO 2023005231 A1 WO2023005231 A1 WO 2023005231A1 CN 2022081917 W CN2022081917 W CN 2022081917W WO 2023005231 A1 WO2023005231 A1 WO 2023005231A1
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image acquisition
location
key
area
roads
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French (fr)
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叶建云
戚琦
李娟�
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Shanghai Sensetime Intelligent Technology Co Ltd
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Shanghai Sensetime Intelligent Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis

Definitions

  • the present disclosure relates to the technical field of determining the position of an image acquisition device, and in particular to a method, device, electronic device and storage medium for determining the position of an image acquisition device.
  • image acquisition equipment in the city can collect images of the corresponding areas 24 hours a day, which can make traffic management and target behavior tracking more convenient and efficient.
  • the position and quantity of image acquisition equipment in the city determine the effect of image acquisition. Unreasonable positions or small numbers will cause the appearance of dead ends in image acquisition, thereby greatly reducing the effect of image acquisition.
  • image acquisition equipment is mainly deployed for key locations (interest of point). Although the image acquisition effect of key locations is better, the image acquisition effect of the entire city is not good.
  • a method for determining the location of an image acquisition device comprising: acquiring road network information and key location information of an area to be arranged; for the area to be arranged, according to the layout
  • the area level of the strategy determines the area level range; the location of the image acquisition equipment is determined according to the area level range, the road network information and the key position information.
  • an apparatus for determining the position of an image acquisition device including: a first acquisition module, configured to acquire road network information and key position information of the area to be arranged; a second acquisition module, For the area to be arranged, determine the area level range according to the area level of the layout strategy; the determination module is used for determining the location of the image acquisition device arrangement according to the area level range, the road network information and the key location information.
  • an electronic device the electronic device includes a memory and a processor, the memory is used to store computer instructions that can be run on the processor, and the processor is used to execute the The computer instructions are based on the method described in the first aspect.
  • a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method described in the first aspect is implemented.
  • a computer program product including a computer program stored in a memory, and when the computer program instructions are executed by a processor, the method described in the first aspect is implemented.
  • FIG. 1 is a flow chart of a method for determining the position of an image acquisition device shown in an embodiment of the present disclosure
  • FIG. 2 is a schematic diagram of an enclosing circle shown in an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of a partition block shown in an embodiment of the present disclosure.
  • Fig. 4 is a schematic diagram of a grid shown in an embodiment of the present disclosure.
  • Fig. 5 is a schematic diagram of a key arterial road shown in an embodiment of the present disclosure.
  • Fig. 6 is a schematic structural diagram of an apparatus for determining the position of an image acquisition device shown in an embodiment of the present disclosure
  • Fig. 7 is a schematic structural diagram of an electronic device shown in an embodiment of the present disclosure.
  • first, second, third, etc. may be used in the present disclosure to describe various information, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the present disclosure, first information may also be called second information, and similarly, second information may also be called first information. Depending on the context, the word “if” as used herein may be interpreted as “at” or “when” or “in response to a determination.”
  • At least one embodiment of the present disclosure provides a method for determining the position of an image acquisition device. Please refer to FIG. 1 , which shows the flow of the method, including steps S101 to S103.
  • the method can be executed by electronic devices such as terminal equipment or servers, and the terminal equipment can be user equipment (User Equipment, UE), mobile equipment, terminal, cellular phone, cordless phone, personal digital assistant (Personal Digital Assistant, PDA) handheld device, computing device, vehicle-mounted device, wearable device, etc.
  • the method can be realized by calling a computer-readable instruction stored in a memory by a processor.
  • the method may be executed by a server, and the server may be a local server, a cloud server, or the like.
  • step S101 road network information and key position information of the area to be arranged are obtained.
  • the map containing the area to be arranged and the preset key location information can be obtained, and the corresponding roads in the map can be obtained.
  • the identification lines and the intersection points between the identification lines are used as the road network information of the area to be arranged.
  • the map data of the area to be arranged can be downloaded in advance for import operation, or the import operation can be directly carried out for commercial maps.
  • Key locations can include key prevention targets in the area to be arranged, such as important areas such as institutions, hospitals, power stations, and schools, and places with high risk of incidents such as hotels, bars, and karaoke halls.
  • road marking lines can be extracted through intelligent video image computing services such as road network extraction.
  • road detection can be performed first to obtain road segmentation masks, and then the centerlines of each road can be extracted based on the road segmentation masks.
  • the road centerline is vectorized, and the vector line of each road is obtained as the road marking line.
  • step S102 for the area to be arranged, an area level range is determined according to the area level of the layout strategy.
  • the layout strategy may be determined in advance according to the input strategy generating operation, and the strategy generating operation may be input by a user or automatically generated by a computer, for example.
  • the layout strategy includes an area level and a location ratio, wherein the area level includes at least one of enclosing circles, partitions, grids, main roads, and key locations that are gradually reduced, and the location ratio includes face bayonets and Matching ratio of video image acquisition equipment.
  • the terminal executing this method can determine the area level range according to the layout strategy, for example, prompting the user to input the labeling operation according to the area level in the layout strategy, and obtain the area level range input according to different area levels, and the labeling operation is to determine the area range of an area level operation. For example, if the area level includes enclosing circles, dividing blocks, grids, main roads, and key locations, the terminal will prompt the user to input labeling operations according to each area level in turn, and determine the area corresponding to the area level according to the labeling operation in each area level division stage grade range. The terminal can generate a prompt for the user to enter the labeling operation based on the area level of the encirclement circle.
  • the user draws an encirclement circle on the map according to the prompt, and the range corresponding to the encirclement circle is determined as the area level range of the encirclement circle, and the determination of the area level ranges of other area levels is also the same. Similar processes will not be repeated here.
  • step S103 the location of the image acquisition equipment is determined according to the area level range, the road network information and the key location information.
  • the area level range is determined according to the area level of the layout strategy, and according to the area level range, the road The network information and the key location information determine the location of the image acquisition equipment. Since the location of the image acquisition equipment is determined by combining the regional grade range, road network information and key location information, the overall situation of the area to be arranged is taken into account while focusing on the key locations, such as encircling circles, dividing blocks, grids, and main roads. Therefore, the image acquisition effect of the key position and the whole area can be improved at the same time.
  • the area level includes at least one of enclosing circle, dividing block, grid, main road and key position, wherein the area levels of enclosing circle, dividing block, grid, main road and key position gradually reduce.
  • the location of the image acquisition equipment can be determined according to the area level range, the road network information and the key location information in the following manner:
  • the annotations based on enclosing circles are obtained.
  • the user defines an enclosing circle on the boundary of a certain city, and two enclosing circles inside and outside the main urban area of the city, so that one or more enclosing circles can be determined.
  • Regional grade range Then, in response to determining the first boundary marking lines of the one or more enclosing circles according to including one or more enclosing circles in the area to be arranged, the first boundary marking lines and the corresponding roads of the roads may be determined. The intersection of the identification lines is determined as the location of the image acquisition equipment.
  • the location of the intersection point can be recorded in latitude and longitude.
  • FIG. 2 which exemplarily shows a schematic diagram of an enclosing circle.
  • the label based on the partitions can be obtained.
  • the user can use natural barriers to divide a city into multiple partitions, and manually mark the range and number of the partitions on the map, so that A region-level range may be determined that includes one or more partition blocks.
  • a region-level range may be determined that includes one or more partition blocks.
  • the intersection point of the identification lines is determined as the location of the image acquisition equipment.
  • the location of the image acquisition equipment is set at the intersection of the second boundary marking line of the separation block and the corresponding marking line of the road, and can be monitored by the image acquisition equipment when the tracked object enters and exits the separation block, so as to facilitate locking the tracked object. Tracking the movement trajectory of the object, so it is more reasonable and effective to set this position as the location of the image acquisition equipment.
  • the location of the intersection point can be recorded in latitude and longitude. Please refer to accompanying drawing 3, which schematically shows a schematic diagram of a partition block.
  • the interface for defining the range of the grid obtain grid-based annotations, for example, the user divides a village or community in a city into independent grids, and manually marks the range and number of each grid on the map, Thereby, an area-level range including one or more grids can be determined. Then, in response to including one or more grids in the area to be arranged, determine a third boundary marking line of the one or more grids, and associate the third boundary marking line with each of the roads The intersection point of the identification lines is determined as the location of the image acquisition equipment.
  • the location of the image acquisition device is set, so that the tracked object can be monitored by the image acquisition device when the tracked object enters or exits the grid, so as to facilitate locking of the tracked object. Tracking the movement trajectory of the object, so it is more reasonable and effective to set this position as the location of the image acquisition equipment.
  • the location of the intersection point can be recorded in latitude and longitude. Please refer to FIG. 4 , which exemplarily shows a schematic diagram of a grid.
  • the markings based on the arterial roads are acquired, for example, the user selects at least one of national roads, provincial roads, county roads, streets and roadways in the marking lines corresponding to each road extracted in step S101. kind of main road. Then, in response to the fact that one or more arterial roads are included in the area to be arranged, the arrangement position of the image acquisition device is determined according to the identification lines of the one or more arterial roads.
  • the marking lines corresponding to the one or more main roads in response to including one or more main roads in the area to be arranged, determine the marking lines corresponding to the one or more main roads from the marking lines corresponding to the roads; from the Determining the marking line corresponding to the key arterial road among the marking lines corresponding to the one or more main roads, wherein the marking line of the key arterial road is a marking line that intersects with the first boundary marking line of the one or more encircling circles; The intersections between the identification lines corresponding to the different key arterial roads are determined as the arrangement positions of the image acquisition devices.
  • Fig. 5 schematically shows a schematic diagram of a key arterial road.
  • the interface of determining the key position obtain the mark based on the key position. For example, you can select the marked key position from the imported key position list, and then automatically mark the key position on the map. Then, in response to performing a marking operation in the area to be arranged according to the acquired key position information, at least one arrangement position of the image acquisition device is determined within a preset distance range around the key position.
  • the identification line of the road connected (eg, tangent or connected) to the key position is obtained; within a preset distance range around the key position , based on the intersection point closest to the key position and the key position on the identification line of the road connected to the key position, determine the deployment position of the image acquisition device, wherein the intersection point closest to the key position is a different road Identify intersections between lines. For example, at least one of the entrance and exit corresponding to the key position, the adjacent square, and the nearest intersection point may be determined as the location of the image acquisition device, wherein the distance between the adjacent square and the key position is less than a preset distance Threshold square.
  • the key positions can be surrounded, so that the object to be tracked will be locked when it enters and exits from the key positions. Therefore, it is more reasonable and effective to set the above three positions as the positions of the image acquisition devices.
  • the latitude and longitude of the above three locations may be extracted as location information.
  • the image acquisition direction corresponding to the location of the image acquisition device may also be determined. For example, at the intersection position of the first boundary marking line of the enclosing circle and the marking line of the road, at least one direction (the direction of entering or leaving the enclosing circle) traveling along the road can be determined as the image acquisition direction corresponding to the position; At the intersection position of the second boundary marking line of the block and the marking line of the road, at least one direction of the road can be determined as the image acquisition direction corresponding to the position; at the intersection position of the third boundary marking line of the grid and the marking line of the road , at least one direction of the road can be determined as the image acquisition direction corresponding to the position; at the intersection of different key arterial roads, at least one direction of at least one key arterial road can be determined as the image acquisition direction corresponding to the position, and up to four image acquisition direction; set up image acquisition equipment at multiple locations of key locations, for example, set image acquisition equipment facing the inside and/or outside of the key
  • the location of the image acquisition equipment corresponding to each area level range it can be compared with the location of the image acquisition equipment that has been arranged, so as to remove the image acquisition equipment in the location of the image acquisition equipment.
  • the location of the duplicate location For example, image acquisition device locations with the same latitude and longitude and the same direction are removed as the same image acquisition device location.
  • the rationality of the location of the image acquisition equipment can be increased by deduplication processing.
  • the risk evaluation index can also be determined according to the following parameters in the area to be arranged: the number of the image acquisition equipment layout, the number of planned layout locations and The number of image acquisition devices that have been arranged; and correcting the arrangement positions of the image acquisition devices according to the risk evaluation index and the preset index threshold.
  • step S103 it is possible to count the number S of the image acquisition device layout positions determined by step S103 (each position has multiple directions, each direction is recorded as a position, and multiple cameras in the same direction are recorded as a position), statistics have been arranged
  • the number E of image acquisition equipment, the number F of planned locations this time (for example, it can be estimated by the planning company according to the historical investment level according to the investment amount of financial funds), and the risk evaluation index H is calculated by the following formula:
  • the index threshold can be set in advance, for example, set to 80%.
  • the risk evaluation index H is a risk evaluation index for the location of image acquisition equipment.
  • the risk evaluation index H should be at a higher value, that is, the value higher than or equal to the index threshold. If it is lower than the index threshold, the planning position should be increased. number, or reduce the number of theoretical positions.
  • At least one position is deleted from the image acquisition device layout positions until the risk evaluation index is greater than or equal to the index threshold. It is possible to reduce the number of locations for image acquisition devices by reducing the number of level ranges in each region, for example, reducing the number of partition blocks, the number of grids, and the like.
  • the location of the image acquisition equipment is corrected by calculating the risk evaluation index, which further improves the scientificity and rationality of the location of the image acquisition equipment.
  • blind spots can be supplemented in the following manner: First, starting from each key position and ending with the outermost encircling circle, determine the corresponding signs along the road passing the key position The number of image acquisition device layout positions in the path of the line from the starting point to the end point; in response to the number of the image acquisition device layout positions in the path being less than a preset number threshold, increase in the path At least one layout position, until the number of the image acquisition device layout positions in the path is greater than or equal to the preset number threshold.
  • the quantity threshold can be set to 2, so that when one of the image acquisition devices fails, the other image acquisition device can find the tracked object in the path, which improves the effectiveness of the location of the image acquisition devices and avoids The waste of cost caused by the excessive distribution of image acquisition equipment is eliminated.
  • blind spots can also be detected and supplemented according to the above steps.
  • the rationality and effectiveness of setting the image acquisition device are improved, and blind spot areas such as blind spots of the image acquisition device are avoided.
  • At least one of the following is further included: marking the arrangement position of the image acquisition device on the map; generating the image acquisition device in response to navigation requirements A navigation solution for the layout position; in response to receiving a correction to the actual area corresponding to the layout position of the image acquisition device, modify the layout position of the image acquisition device; or, in response to the real area corresponding to the layout position of the image acquisition device An arrangement is made to determine the type of the image capture device at the real area, wherein the type of the image capture device is a face mount or a video capture device.
  • the navigation scheme generated for the layout position can guide the on-site survey personnel to rush to the real area corresponding to the layout position of the image acquisition equipment, and conduct survey and mapping of the on-site installation environment, lane, road width and other working conditions in the real area, and then determine Whether the location is reasonable, and the type of image acquisition equipment at this location, that is, the arrangement of face bayonet or video acquisition equipment.
  • the position information or direction information of the position can be corrected, and the type of image acquisition device arranged at the position can be determined.
  • the ratio of face bayonet and video acquisition equipment is reasonable in the following way: For each key position, use this key position as the starting point , with the outermost encircling circle as the end point, determine the first ratio of the face bayonet and the video capture device in the path from the starting point to the end point along the identification line corresponding to the main road passing through the key position; For each of the image capture device layout positions, determine the second ratio of the face bayonet and the video capture device in the image capture device layout positions; in response to the first ratio being greater than the position ratio, or the second ratio The second ratio is greater than the position ratio, and the image acquisition device type of at least one of the image acquisition device locations is adjusted so that the first ratio is not greater than the location ratio, and the second ratio is not greater than the location ratio.
  • the position ratio is determined according to the layout strategy, for example, the position ratio can be directly input by the user, for example, it can be a face bayonet: a video image acquisition device ratio of 1:4.
  • the two dimensions of the main road path from the key position to the boundary of the encirclement and the location of each image acquisition device are used to pay attention to and adjust the location ratio, which increases the rationality of the location ratio and ensures the effect of the image acquisition device. And avoid cost waste.
  • the location information of the image acquisition equipment arrangement and the corresponding image acquisition direction can also be extracted; area, the identification of the location of the image acquisition equipment, and the corresponding direction of image acquisition; and/or, generate a list of the distribution locations of the image acquisition equipment, wherein the list includes the identification of each distribution location and the corresponding direction of image acquisition.
  • the identifier may be a serial number or the like.
  • the encirclement (name, boundary line), separation block (number, boundary line), grid (number, boundary line), key arterial road (number, identification line), key position (name), image acquisition can be displayed hierarchically on the map The number and direction of the equipment layout position, etc.
  • the numbering rules for circle grid line points and selected points can be determined according to local numbering standards.
  • the system that executes the method for determining the location of the image acquisition device can automatically determine the location of the image acquisition device, and calculate the scientific risk evaluation index of the image acquisition device layout under the maximum investment benefit, prompting the image acquisition There are still risks in this area after the equipment location layout, and the designer can also fine-tune the layout position of the image acquisition equipment.
  • the preliminarily determined position of the image acquisition equipment can be directly presented on the map, and can be combined with GPS/Beidou for point navigation, which is convenient for surveyors to rush to the site to conduct on-site surveys and construction drawing surveys on site conditions.
  • an apparatus for determining the position of an image acquisition device please refer to FIG.
  • the second acquisition module 602 is used to determine the area level range according to the area level of the layout strategy for the area to be arranged;
  • the determination module 603 is used to determine the area level range according to the area level range , the road network information and the key location information determine the location of the image acquisition equipment.
  • the first acquisition module is specifically configured to: acquire a map containing the area to be arranged and preset key location information; extract the identification lines corresponding to each road in the map; and The intersection points between the identification lines are used as the road network information of the area to be arranged.
  • the area level includes at least one of enclosing circles, partition blocks, grids, arterial roads, and key positions;
  • the root determining module is configured to: respond to including in the area to be arranged One or more encircling circles, determining at least one first boundary marking line of the enclosing circle, and determining the intersection of the first boundary marking line and the marking lines corresponding to the various roads as the location of the image acquisition device; and /or, in response to including one or more partition blocks in the area to be arranged, determine a second boundary marking line of at least one partition block, and map the second boundary marking line to the marking lines corresponding to the roads and/or, in response to including one or more grids in the area to be arranged, determine a third boundary marker line of at least one grid, and place the third The intersection of the boundary marking lines and the marking lines corresponding to the roads is determined as the location of the image acquisition equipment; and/or in response to including one or more main roads in the area to be arranged, according to the at least
  • the determination module is configured to determine the layout position of the image acquisition device according to the identification line of the at least one arterial road in response to including one or more arterial roads in the area to be arranged , used for: in response to including the one or more arterial roads in the area to be arranged, determine at least one identification line corresponding to the main road from the identification lines corresponding to the various roads; from the at least one The identification line corresponding to the key arterial road is determined in the identification line corresponding to the main road, wherein the identification line of the key arterial road is an identification line that intersects with the first boundary identification line of the encirclement circle; The intersection point between the identification lines is determined as the arrangement position of the image acquisition equipment.
  • the determining module is configured to, in response to including one or more key positions in the area to be arranged, determine the selected key positions within a preset distance range around the one or more key positions.
  • the location of the above-mentioned image acquisition equipment it is used to: for each of the one or more key locations, within the preset distance range around the key location, based on the distance on the marking line of the road connected to the key location
  • the closest intersection point of the key position and the key position determine the arrangement position of the image acquisition device, wherein the intersection point closest to the key position is an intersection point between marking lines of different roads.
  • the determination module is further configured to: determine an image acquisition direction corresponding to the arrangement position of the image acquisition device.
  • the determining module is further configured to: perform deduplication processing on repeated positions in the layout positions of the image acquisition device; A location that duplicates the location where the image capture device has been deployed as described above.
  • the determining module is further configured to: determine the risk according to the number of deployment locations of the image acquisition equipment, the number of planned layout locations, and the number of image acquisition equipment deployed in the area to be deployed An evaluation index; correcting the arrangement position of the image acquisition device according to the risk evaluation index and a preset index threshold.
  • the determining module is configured to, when correcting the arrangement position of the image acquisition device according to the risk evaluation index and a preset index threshold, to: respond to the risk evaluation index being less than the set The index threshold, and at least one arrangement position is deleted from the image acquisition device arrangement positions until the risk evaluation index is greater than or equal to the index threshold.
  • the determining module is further configured to: take each key location as a starting point and end with the outermost encircling circle as an end point, determine the corresponding identification line along the road passing the key location from The number of image acquisition device layout locations in the path from the starting point to the end point; in response to the number of image acquisition device layout locations in the path being less than a preset number threshold, adding at least one layout location in the path until The number of image acquisition device layout positions in the path is greater than or equal to the preset number threshold.
  • a strategy module is further included, configured to: determine the layout strategy according to a strategy generating operation, wherein the layout strategy includes area levels and location ratios, wherein the location ratio includes people Matching ratio of face bayonet and video image acquisition equipment.
  • the determining module is further configured to: mark the layout position of the image acquisition device on the map; and/or, in response to a navigation requirement, generate a navigation for the layout position of the image acquisition device solution; and/or, in response to receiving a correction to the real area corresponding to the location of the image acquisition device, modify the location of the image acquisition device; and/or in response to the actual area corresponding to the location of the image acquisition device
  • the area is arranged to determine the type of image acquisition device in the real area, where the type of image acquisition device is a face check or video acquisition device.
  • the determination module is further configured to: for each key position, with the key position as the starting point and the outermost enclosing circle as the end point, determine the corresponding The first ratio of the face bayonet and the video capture device in the path of the identification line from the starting point to the end point; The second ratio of the acquisition device; in response to the first ratio being greater than the position matching ratio, or the second ratio being greater than the position matching ratio, adjusting the image acquisition of at least one of the arrangement positions of the image acquisition device A device type such that the first ratio is not greater than the location ratio and the second ratio is not larger than the location ratio.
  • a summarization module configured to: extract the position information of the image acquisition device layout position and the corresponding image acquisition direction; display the areas corresponding to each area level in layers on the map, The identification of the arrangement position of the image acquisition device and the corresponding image acquisition direction; and/or, generating a list of the arrangement positions of the image acquisition device, wherein the list includes the identification of each arrangement position and the corresponding image acquisition direction.
  • an electronic device 700 is provided, and the electronic device 700 includes a memory 701, a processor 702, and a network interface 703, wherein the memory, the processor, The network interface 703 is coupled through an internal bus 704, and the memory is used to store computer instructions that can be run on a processor, and the processor is used to implement the method described in the first aspect when executing the computer instructions.
  • a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method described in the first aspect is implemented.
  • first and second are used for descriptive purposes only, and should not be understood as indicating or implying relative importance.
  • plurality means two or more, unless otherwise clearly defined.

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Abstract

提供一种用于确定图像采集设备位置的方法、装置、设备及存储介质,方法包括:获取待布置区域的地图的路网信息和重点位置,其中,路网信息包括道路信息;针对待布置区域,根据布局策略的区域等级确定区域等级范围;根据区域等级范围、路网信息和重点位置信息确定图像采集设备的布点位置。

Description

用于确定图像采集设备位置的方法、装置、电子设备及存储介质
相关申请交叉引用
本申请主张申请号为202110858963.5、申请日为2021年7月28日的中国专利申请的优先权,该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本公开涉及确定图像采集设备位置的技术领域,尤其涉及一种用于确定图像采集设备位置的方法、装置、电子设备及存储介质。
背景技术
目前城市管理朝着智能化的方向发展,城市中的图像采集设备能够24小时对相对应的区域进行图像采集,从而能够使交通管理、目标行为追踪等变得便捷高效。城市中图像采集设备布置的位置和数量,决定了图像采集的效果,位置不合理或数量较少都会造成图像采集死角的出现,从而大大降低图像采集效果。通常,图像采集设备主要是针对重点位置(interest of point)进行布设,虽然重点位置图像采集效果较好,但是整个城市的图像采集效果不佳。
发明内容
根据本公开实施例的第一方面,提供一种用于确定图像采集设备位置的方法,所述方法包括:获取待布置区域的路网信息和重点位置信息;针对所述待布置区域,根据布局策略的区域等级确定区域等级范围;根据所述区域等级范围、所述路网信息和所述重点位置信息确定所述图像采集设备布点位置。
根据本公开实施例的第二方面,提供一种用于确定图像采集设备位置的装置,包括:第一获取模块,用于获取待布置区域的路网信息和重点位置信息;第二获取模块,用于针对所述待布置区域,根据布局策略的区域等级确定区域等级范围;确定模块,用于根据区域等级范围、所述路网信息和所述重点位置信息确定所述图像采集设备布点位置。
根据本公开实施例的第三方面,提供一种电子设备,所述电子设备包括存储器、处理器,所述存储器用于存储可在处理器上运行的计算机指令,所述处理器用于在执行所述计算机指令时基于第一方面所述的方法。
根据本公开实施例的第四方面,提供一种计算机可读存储介质,其上存储有计算机程序,所述程序被处理器执行时实现第一方面所述的方法。
根据本公开实施例的第五方面,提供一种计算机程序产品,包括存储于存储器中的计算机程序,所述计算机程序指令被处理器执行时实现第一方面所述的方法。
应当理解的是,以上的一般描述和后文的细节描述仅是示例性和解释性的,并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分,示出了符合本公开的实施例,并与说明书一起用于解释本公开的原理。
图1是本公开实施例示出的用于确定图像采集设备位置的方法的流程图;
图2是本公开实施例示出的包围圈的示意图;
图3是本公开实施例示出的分隔块的示意图;
图4是本公开实施例示出的网格的示意图;
图5是本公开实施例示出的关键干道的示意图;
图6是本公开实施例示出的用于确定图像采集设备位置的装置的结构示意图;
图7是本公开实施例示出的电子设备的结构示意图。
具体实施方式
这里将详细地对示例性实施例进行说明,其示例表示在附图中。下面的描述涉及附图时,除非另有表示,不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开相一致的所有实施方式。相反,它们仅是与如所附权利要求书中所详述的、本公开的一些方面相一致的装置和方法的例子。
在本公开使用的术语是仅仅出于描述特定实施例的目的,而非旨在限制本公开。在本公开和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式,除非上下文清楚地表示其他含义。还应当理解,本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
应当理解,尽管在本公开可能采用术语第一、第二、第三等来描述各种信息,但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如,在不脱离本公开范围的情况下,第一信息也可以被称为第二信息,类似地,第二信息也可以被称为第一信息。取决于语境,如在此所使用的词语“如果”可以被解释成为“在……时”或“当……时”或“响应于确定”。
本公开至少一个实施例提供了一种用于确定图像采集设备位置的方法,请参照附图1,其示出了该方法的流程,包括步骤S101至步骤S103。
其中,该方法可以由终端设备或服务器等电子设备执行,终端设备可以为用户设备(User Equipment,UE)、移动设备、终端、蜂窝电话、无绳电话、个人数字处理(Personal Digital Assistant,PDA)手持设备、计算设备、车载设备、可穿戴设备等,该方法可以通过处理器调用存储器中存储的计算机可读指令的方式来实现。或者,可以通过服务器执行该方法,服务器可以为本地服务器、云端服务器等。
在步骤S101中,获取待布置区域的路网信息和重点位置信息。
本步骤中,可以在导入包含待布置区域的地图和预设的重点位置列表后,获取包 含所述待布置区域的地图和预设的重点位置信息,以及获取所述地图中的各条道路对应的标识线以及标识线之间的交点,作为所述待布置区域的路网信息。
其中,可以预先下载待布置区域的地图数据(例如,ZY-3卫星、GF-2卫星全色多光谱RGB、PGIS地图数据)以进行导入操作,或者直接针对商业地图进行导入操作。重点位置可以包括待布置区域内的重点防范目标,例如机关、医院、电站、学校等重要区域和酒店、酒吧、歌厅等案发风险较高的场所。
其中,可以通过路网提取等智能视频图像计算服务提取道路的标识线,例如可以先进行道路检测,获得道路分割掩膜,然后在道路分割掩膜的基础上,提取各条道路的中心线,基于影像地理信息或图像坐标,对道路中心线进行矢量化,得到每条道路的矢量线作为道路的标识线。
在步骤S102中,针对所述待布置区域,根据布局策略的区域等级确定区域等级范围。
其中,布局策略可以预先根据输入的策略生成操作而确定,策略生成操作例如可以由用户输入或计算机自动生成。布局策略包括区域等级和位置配比,其中,所述区域等级包括逐级缩小的包围圈、分隔块、网格、主干道和重点位置中的至少一个,所述位置配比包括脸部卡口和视频图像采集设备的配比。通过根据图像采集设备的布局需求生成对应的布局策略,以及通过预先设置该布局策略,使后续依据该布局策略所标注的区域以及确定的图像采集设备布点位置能够满足布局需求,使图像采集设备能够在适当的位置发挥较大作用。
执行该方法的终端可以根据布局策略确定区域等级范围,例如提示用户依据布局策略中的区域等级输入标注操作,并获取依据不同区域等级输入的区域等级范围,标注操作为确定一个区域等级的区域范围的操作。例如,区域等级包括包围圈、分隔块、网格、主干道和重点位置,则终端依次提示用户依据各个区域等级输入标注操作,并在每个区域等级划分阶段根据标注操作确定该区域等级对应的区域等级范围。终端可以生成提示用户输入依据包围圈这一区域等级的标注操作,用户根据提示在地图上画一个包围圈,则该包围圈对应的范围确定为包围圈的区域等级范围,其他区域等级的区域等级范围的确定也是类似的流程,这里不再进行一一赘述。
在步骤S103中,根据所述区域等级范围、所述路网信息和所述重点位置信息确定所述图像采集设备布点位置。
其中,根据区域等级范围,再进一步结合路网信息和重点位置信息,能够兼顾全面布点和重点布点两个方面,从而使布点位置准确可靠。
除了根据区域等级范围、路网信息和重点位置,确定图像采集设备布点位置,还可以同时确定每个图像采集设备布点位置的方向。
根据上述实施例可知,通过获取待布置区域的路网信息和重点位置信息后,针对所述待布置区域,根据布局策略的区域等级确定区域等级范围,以及根据所述区域等级范围、所述路网信息和所述重点位置信息确定图像采集设备布点位置。由于确定图像采集设备布点位置时结合了区域等级范围以及路网信息和重点位置信息,在关注重点位置 的同时顾及了待布置区域的全局,诸如包围圈、分隔块、网格、主干道等区域,因此可以同时提高重点位置和整个区域的图像采集效果。
本公开的一些实施例中,所述区域等级包括包围圈、分隔块、网格、主干道和重点位置中的至少一个,其中,包围圈、分隔块、网格、主干道和重点位置的区域等级逐渐降低。
基于此,可以按照下述方式根据所述区域等级范围、所述路网信息和所述重点位置信息确定所述图像采集设备布点位置:
在划定包围圈的范围的界面,获取依据包围圈的标注,例如用户在某个城市的边界划定一个包围圈,在城市的主城区划定内外两个包围圈,从而可以确定包括一个或多个包围圈的区域等级范围。则可以响应于在所述待布置区域内依据包括一个或多个包围圈,确定所述一个或多个包围圈的第一边界标识线,将所述第一边界标识线与所述各条道路对应的标识线的交点确定为图像采集设备布点位置。在所述包围圈的第一边界标识线和各道路对应的标识线的交点处设置图像采集设备布点位置,能够在被追踪对象等出入该包围圈时被图像采集设备监控到,从而便于锁定该被追踪对象的行动轨迹,因此将该位置设置为图像采集设备布点位置较为合理有效。交点的位置可以以经纬度进行记录。请参照附图2,其示例性的示出了包围圈的示意图。
在划定分隔块的范围的界面,获取依据分隔块的标注,例如用户借以天然屏障将某个城市划分为多个分隔块,并以手动方式在地图上标注该分隔块的范围和编号,从而可以确定包括一个或多个分隔块的区域等级范围。则可以响应于在所述待布置区域内包括一个或多个分隔块,确定所述一个或多个分隔块的第二边界标识线,将所述第二边界标识线与所述各条道路对应的标识线的交点确定为所述图像采集设备布点位置。在所述分隔块的第二边界标识线和道路对应的标识线的交点处设置图像采集设备布点位置,能够在被追踪对象等出入该分隔块时被图像采集设备监控到,从而便于锁定该被追踪对象的行动轨迹,因此将该位置设置为图像采集设备布点位置较为合理有效。交点的位置可以以经纬度进行记录。请参照附图3,其示例性的示出了分隔块的示意图。
在划定网格的范围的界面,获取依据网格的标注,例如用户将某个城市的村庄或社区划分为独立的网格,并以手动方式在地图上标注各网格的范围和编号,从而可以确定包括一个或多个网格的区域等级范围。则可以响应于在所述待布置区域内包括一个或多个网格,确定所述一个或多个网格的第三边界标识线,将所述第三边界标识线与所述每条道路对应的标识线的交点确定为所述图像采集设备布点位置。在所述网格的第三边界标识线和道路对应的标识线的交点处设置图像采集设备布点位置,能够在被追踪对象等出入该网格时被图像采集设备监控到,从而便于锁定该被追踪对象的行动轨迹,因此将该位置设置为图像采集设备布点位置较为合理有效。交点的位置可以以经纬度进行记录。请参照附图4,其示例性的示出了网格的示意图。
在划定主干道的界面,获取依据主干道的标注,例如用户在步骤S101中提取出的各个道路对应的标识线中,选择其中的国道、省道、县道、街道和巷道中的至少一种为主干道。则可以响应于在所述待布置区域内包括一个或多个主干道,根据所述一个或多个主干道的标识线确定所述图像采集设备布点位置。
在一些实施例中,响应于在所述待布置区域内包括一个或多个主干道,从所述各条道路对应的标识线中确定所述一个或多个主干道对应的标识线;从所述一个或多个主干道对应的标识线中确定关键干道对应的标识线,其中,所述关键干道的标识线为与所述一个或多个包围圈的第一边界标识线存在交点的标识线;将不同的所述关键干道对应的标识线之间的交点确定为所述图像采集设备布点位置。在不同的关键干道的标识线之间的交点处设置图像采集设备布点位置,能够在被追踪对象通过关键干道从包围圈内向包围圈外移动的过程中被图像采集设备监控到,从而便于锁定该被追踪对象的行动轨迹,因此将该位置设置为图像采集设备布点位置较为合理有效。交点的位置可以以经纬度记录。请参照附图5,其示例性的示出了关键干道的示意图。
在确定重点位置的界面,获取依据重点位置的标注,例如,可以从导入的重点位置列表中选择标注的重点位置,则在地图上自动标注该重点位置。则可以响应于在所述待布置区域内依据获取到的所述重点位置信息进行标注操作,在所述重点位置周围预设的距离范围内确定至少一个所述图像采集设备布点位置。
在一些实施例中,针对所述一个或多个重点位置中的每个,获取与该重点位置相连(例如相切或连通)的道路的标识线;在该重点位置周围预设的距离范围内,基于与该重点位置相连的道路的标识线上距离该重点位置最近的交点以及该重点位置,确定所述图像采集设备布点位置,其中,所述距离该重点位置最近的交点为不同的道路的标识线之间的交点。例如,可以将所述重点位置对应的出入口、邻近广场和最近的交点中的至少一个,确定为图像采集设备布点位置,其中,所述邻近广场为与所述重点位置的距离小于预设的距离阈值的广场。通过在上述三个位置设置图像采集设备,能够对重点位置形成包围,从而在待跟踪对象从重点位置进出时被锁定,因此上述三个位置设置为图像采集设备布点位置较为合理有效。可以提取上述三个位置的经纬度作为位置信息。
另外,在确定图像采集设备布点位置后,还可以确定所述图像采集设备布点位置对应的图像采集方向。例如,在包围圈的第一边界标识线与道路的标识线的交点位置,可以确定沿该道路行进的至少一个方向(进或者出所述包围圈的方向)为该位置对应的图像采集方向;在分隔块的第二边界标识线与道路的标识线的交点位置,可以确定该道路的至少一个方向为该位置对应的图像采集方向;在网格的第三边界标识线与道路的标识线的交点位置,可以确定该道路的至少一个方向为该位置对应的图像采集方向;在不同关键干道的交点位置,可以将至少一个关键干道的至少一个方向确定为该位置对应的图像采集方向,最多可设置四个图像采集方向;在重点位置的多个布点位置设置图像采集设备,例如在重点位置的出入口设置朝向重点位置内和/或外的图像采集设备,在邻近广场设置朝向重点位置的方向的图像采集设备,在根据所属道路信息的交点与重点位置的相对位置设置图像采集设备方向。
需要注意的是,在确定各个区域等级范围对应的图像采集设备布点位置后,均需要与之前确定的图像采集设备布点位置进行比较,以对所述图像采集设备布点位置中的重复位置进行去重处理。例如,相同经纬度和相同方向的图像采集设备位置作为同一个图像采集设备位置予以去除。通过去重处理能够增加图像采集设备布点位置的合理性。
需要注意的是,在确定各个区域等级范围对应的图像采集设备布点位置后,可以 与已布置图像采集设备的位置进行比较,以去除所述图像采集设备布点位置中与所述已布置图像采集设备的位置重复的位置。例如,相同经纬度和相同方向的图像采集设备位置作为同一个图像采集设备位置予以去除。通过去重处理能够增加图像采集设备布点位置的合理性。
本公开的一些实施例中,在确定图像采集设备布点位置后,还可以根据所述待布置区域内的以下参数确定风险评价指标:所述图像采集设备布点位置的数量、规划布点位置的数量和已布置图像采集设备的数量;并根据所述风险评价指标和预设的指标阈值,校正所述图像采集设备布点位置。
其中,可以统计通过步骤S103确定的图像采集设备布点位置的数量S(每个位置有多个方向的,每个方向记作一个位置,同一方向有多个摄像机记为一个位置),统计已布置图像采集设备的数量E,本次规划位置数量F(例如可以是根据照财政资金投资额由规划公司按历史投资水平估算得到的),通过下式计算风险评价指标H:
H=100%*(E+F)/S。
可以预先设置指标阈值,例如设为80%。风险评价指标H是一个图像采集设备布置位置风险评价类的指标,应使风险评价指标H处于较高的数值,即高于或等于指标阈值的数值,若低于指标阈值,则应提高规划位置数量,或降低理论位置数量。
在一个示例中,响应于所述风险评价指标小于所述指标阈值,从所述图像采集设备布点位置中删除至少一个位置,直至所述风险评价指标大于或等于所述指标阈值。可以通过减少各个区域等级范围的数量,例如减少分隔块的数量、网格的数量等,从而减少图像采集设备布点位置的数量。
本实施例中,通过计算风险评价指标来校正上述图像采集设备布点位置,进一步提高了图像采集设备布点位置的科学性和合理性。
另外,在确定图像采集设备布点位置之后,可以按照下述方式补充盲点:首先,以每个重点位置为起点,以最外层的包围圈为终点,确定沿经过所述重点位置的道路对应的标识线从所述起点到所述终点的路径中的图像采集设备布点位置的数量;响应于所述路径中的所述图像采集设备布点位置的数量小于预设的数量阈值,在所述路径中增加至少一个布点位置,直至所述路径中的所述图像采集设备布点位置的数量大于或等于所述预设的数量阈值。其中,沿经过所述重点位置的道路对应的标识线从起点到终点的路径有多个,需要分别针对每个路径确定图像采集设备布点位置的数量,并根据每个路径的数量确定是否为该路径补充图像采集设备布点位置。数量阈值可以设置为2个,从而可以在其中1个图像采集设备出现故障时,另一个图像采集设备能够找到该路径中的被跟踪对象,提高了图像采集设备布点位置的有效性,同时又避免了图像采集设备滥布导致的成本浪费。
需要注意的是,当确定的图像采集设备布点位置被校正后,还可以按照上述步骤对盲点进行检测和补充。
通过对重点位置至包围圈的进行盲点的检测和补充,提高了图像采集设备的设置的合理性和有效性,避免了出现图像采集设备死角等盲点区域。
本公开的一些实施例中,在校正所述图像采集设备布点位置之后,还包括以下至少一个:在所述地图上标注所述图像采集设备布点位置;响应于导航需求,生成所述图像采集设备布点位置的导航方案;响应于接收到对所述图像采集设备布点位置对应的现实区域的修正,修正所述图像采集设备布点位置;或,响应于在所述图像采集设备布点位置对应的现实区域进行布置,确定所述现实区域处的图像采集设备类型,其中,所述图像采集设备类型为脸部卡口或视频采集设备。
在地图上标注图像采集设备布点位置,便于用户查看和确定位置。而针对布点位置生成的导航方案,能够指导现场勘察人员据此赶赴图像采集设备布点位置对应的现实区域,并在现实区域对现场安装环境、车道、路宽等工况环境进行勘察测绘,进而确定该位置是否合理,以及该位置的图像采集设备类型,即布置脸部卡口或视频采集设备。接收到现场勘测人员的操作后,可以修正该位置的位置信息或方向信息,并且确定该位置布置的图像采集设备类型。
另外,在确定了每个图像采集设备布点位置的图像采集设备类型后,可以按照下述方式确定脸部卡口和视频采集设备的比例是否合理:针对每个重点位置,以该重点位置为起点,以最外层的包围圈为终点,确定沿经过该重点位置的主干道对应的标识线从所述起点到所述终点的路径中的脸部卡口和视频采集设备的第一比例;针对所述图像采集设备布点位置中的每个,确定该图像采集设备布点位置中脸部卡口和视频采集设备的第二比例;响应于所述第一比例大于所述位置配比,或所述第二比例大于所述位置配比,调整所述图像采集设备布点位置中至少一个布点位置的图像采集设备类型,以使所述第一比例不大于所述位置配比,且所述第二比例不大于所述位置配比。其中,该位置配比在根据布局策略确定,例如可以由用户直接输入位置配比,例如可以是脸部卡口:视频图像采集设备为1:4。上述方式中,从重点位置到包围圈边界的主干道路径和每个图像采集设备布点位置两个维度来关注并调整位置配比,增加了位置配比的合理性,既能够保证图像采集设备效果,又避免成本浪费。
本公开的一些实施例中,在校正完成图像采集设备布点位置后,还可以提取所述图像采集设备布点位置的位置信息和对应的图像采集方向;在所述地图上分层显示各个区域等级对应的区域、图像采集设备布点位置的标识和对应的图像采集方向;和/或,生成图像采集设备布点位置列表,其中,所述列表内包括各个布点位置的标识和对应的图像采集方向。
其中,标识可以是编号等。可以在地图上分层展示包围圈(名称、边界线)、分隔块(编号、边界线)、网格(编号、边界线)、关键干道(编号、标识线)、重点位置(名称)、图像采集设备布点位置的编号及方向等。圈块格线点及选点的编号规则可以按照当地编号规范确定。
通过对不同区域等级以及图像采集设备布点位置的显示,能够便于用户查看结果,从而方便指导用户对图像采集设备的和布置决策和布置施工。
执行本实施例提供的用于确定图像采集设备位置的方法的系统能够自动确定出图像采集设备的布置位置,并计算投资效益最大化下图像采集设备布局的科学性的风险评价指数,提示图像采集设备位置布局后该区域依然存在的风险,同时也可以由设计人员 进行微调图像采集设备的布置位置。初步确定的图像采集设备的位置可以直接在地图上呈现,并可以结合GPS/北斗等进行点位导航,便于勘察人员赶赴现场对现场工况进行实地勘察和施工图纸测绘。
根据本公开实施例的第二方面,提供一种用于确定图像采集设备位置的装置,请参照附图6,其示出了该装置的结构示意图,包括:第一获取模块601,用于获取待布置区域的路网信息和重点位置信息;第二获取模块602,用于针对所述待布置区域,根据布局策略的区域等级确定区域等级范围;确定模块603,用于根据所述区域等级范围、所述路网信息和所述重点位置信息确定所述图像采集设备布点位置。
在本公开的一些实施例中,所述第一获取模块具体用于:获取包含所述待布置区域的地图和预设的重点位置信息;提取所述地图中的各条道路对应的标识线以及所述标识线之间的交点,作为所述待布置区域的路网信息。
在本公开的一些实施例中,所述区域等级包括包围圈、分隔块、网格、主干道和重点位置中的至少一个;所述根确定模块用于:响应于在所述待布置区域内包括一个或多个包围圈,确定至少一个所述包围圈的第一边界标识线,将所述第一边界标识线与所述各条道路对应的标识线的交点确定为所述图像采集设备布点位置;和/或,响应于在所述待布置区域内包括一个或多个分隔块,确定至少一个分隔块的第二边界标识线,将所述第二边界标识线与所述各条道路对应的标识线的交点确定为所述图像采集设备布点位置;和/或,响应于在所述待布置区域内包括一个或多个网格,确定至少一个网格的第三边界标识线,将所述第三边界标识线与所述各条道路对应的标识线的交点确定为所述图像采集设备布点位置;和/或响应于在所述待布置区域内包括一个或多个主干道,根据所述至少一个主干道的标识线确定所述图像采集设备布点位置;和/或,响应于在所述待布置区域内包括一个或多个重点位置,在所述重点位置周围预设的距离范围内确定至少一个所述图像采集设备布点位置。
在本公开的一些实施例中,所述确定模块用于响应于在所述待布置区域内包括一个或多个主干道,根据所述至少一个主干道的标识线确定所述图像采集设备布点位置时,用于:响应于在所述待布置区域内包括所述一个或多个主干道,从所述各条道路对应的标识线中确定至少一条主干道对应的标识线;从所述至少一条主干道对应的标识线中确定关键干道对应的标识线,其中,所述关键干道的标识线为与所述包围圈的第一边界标识线存在交点的标识线;将不同的所述关键干道对应的标识线之间的交点确定为所述图像采集设备布点位置。
在本公开的一些实施例中,所述确定模块用于响应于在所述待布置区域内包括一个或多个重点位置,在所述一个或多个重点位置周围预设的距离范围内确定所述图像采集设备布点位置时,用于:针对所述一个或多个重点位置中的每个,在该重点位置周围预设的距离范围内,基于与该重点位置相连的道路的标识线上距离该重点位置最近的交点、以及该重点位置,确定所述图像采集设备布点位置,其中,所述距离该重点位置最近的交点为不同的道路的标识线之间的交点。
在本公开的一些实施例中,所述确定模块还用于:确定所述图像采集设备布点位置对应的图像采集方向。
在本公开的一些实施例中,所述确定模块还用于:对所述图像采集设备布点位置中的重复位置进行去重处理;和/或,去除所述图像采集设备布点位置中,与所述已布置图像采集设备的位置重复的位置。
在本公开的一些实施例中,所述确定模块还用于:根据所述图像采集设备布点位置的数量、规划布点位置的数量和所述待布置区域内已布置图像采集设备的数量,确定风险评价指标;根据所述风险评价指标和预设的指标阈值,校正所述图像采集设备布点位置。
在本公开的一些实施例中,所述确定模块用于根据所述风险评价指标和预设的指标阈值,校正所述图像采集设备布点位置时,用于:响应于所述风险评价指标小于所述指标阈值,从所述图像采集设备布点位置中删除至少一个布点位置,直至所述风险评价指标大于或等于所述指标阈值。
在本公开的一些实施例中,所述确定模块还用于:以每个所述重点位置为起点,以最外层的包围圈为终点,确定沿经过所述重点位置的道路对应的标识线从所述起点到终点的路径中的图像采集设备布点位置的数量;响应于所述路径中的图像采集设备布点位置的数量小于预设的数量阈值,在所述路径中增加至少一个布点位置,直至所述路径中的图像采集设备布点位置的数量大于或等于所述预设的数量阈值。
在本公开的一些实施例中,还包括策略模块,用于:根据策略生成操作确定所述布局策略,其中,所述布局策略包括区域等级和位置配比,其中,所述位置配比包括人脸卡口和视频图像采集设备的配比。
在本公开的一些实施例中,所述确定模块还用于:在所述地图上标注所述图像采集设备布点位置;和/或,响应于导航需求,生成所述图像采集设备布点位置的导航方案;和/或,响应于接收到对所述图像采集设备布点位置对应的现实区域的修正,修正所述图像采集设备布点位置;和/或响应于在所述图像采集设备布点位置对应的现实区域进行布置,确定所述现实区域处的的图像采集设备类型,其中,所述图像采集设备类型为人脸卡口或视频采集设备。
在本公开的一些实施例中,所述确定模块还用于:针对每个重点位置,以该重点位置为起点,以最外层的包围圈为终点,确定沿经过该重点位置的主干道对应的标识线从起点到终点的路径中的人脸卡口和视频采集设备的第一比例;针对所述图像采集设备布点位置中的每个,确定该图像采集设备布点位置中人脸卡口和视频采集设备的第二比例;响应于所述第一比例大于所述位置配比,或所述第二比例大于所述位置配比,调整所述图像采集设备布点位置中至少一个布点位置的图像采集设备类型,以使所述第一比例不大于所述位置配比,且所述第二比例不大于所述位置配比。
在本公开的一些实施例中,还包括汇总模块,用于:提取所述图像采集设备布点位置的位置信息和对应的图像采集方向;在所述地图上分层显示各个区域等级对应的区域、所述图像采集设备布点位置的标识和所述对应的图像采集方向;和/或,生成图像采集设备布点位置列表,其中,所述列表内包括各个布点位置的标识和对应的图像采集方向。
请参照附图7,根据本公开实施例的第三方面,提供一种电子设备700,所述电子设备700包括存储器701、处理器702、网络接口703,其中所述存储器、所述处理器、所述网络接口703通过内部总线704耦接,所述存储器用于存储可在处理器上运行的计算机指令,所述处理器用于在执行所述计算机指令时实现第一方面所述的方法。
根据本公开实施例的第四方面,提供一种计算机可读存储介质,其上存储有计算机程序,所述程序被处理器执行时实现第一方面所述的方法。
在本公开中,术语“第一”、“第二”仅用于描述目的,而不能理解为指示或暗示相对重要性。术语“多个”指两个或两个以上,除非另有明确的限定。
本领域技术人员在考虑说明书及实践这里公开的公开后,将容易想到本公开的其它实施方案。本公开旨在涵盖本公开的任何变型、用途或者适应性变化,这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的,本公开的真正范围和精神由下面的权利要求指出。
应当理解的是,本公开并不局限于上面已经描述并在附图中示出的精确结构,并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。

Claims (19)

  1. 一种用于确定图像采集设备位置的方法,包括:
    获取待布置区域的路网信息和重点位置信息;
    针对所述待布置区域,根据布局策略的区域等级确定区域等级范围;
    根据所述区域等级范围、所述路网信息和所述重点位置信息确定所述图像采集设备布点位置。
  2. 根据权利要求1所述的方法,其中,获取所述待布置区域的路网信息和重点位置信息,包括:
    获取包含所述待布置区域的地图和预设的重点位置信息;
    提取所述地图中的各条道路对应的标识线以及所述标识线之间的交点,作为所述待布置区域的路网信息。
  3. 根据权利要求2所述的方法,其中,所述区域等级包括包围圈、分隔块、网格、主干道和重点位置中的至少一个;
    根据所述区域等级范围、所述路网信息和所述重点位置信息确定所述图像采集设备布点位置,包括以下至少一个:
    响应于在所述待布置区域内包括一个或多个包围圈,确定所述一个或多个包围圈的第一边界标识线,将所述第一边界标识线与所述各条道路对应的标识线的交点,确定为所述图像采集设备布点位置;
    响应于在所述待布置区域内包括一个或多个分隔块,确定所述一个或多个分隔块的第二边界标识线,将所述第二边界标识线与所述各条道路对应的标识线的交点,确定为所述图像采集设备布点位置;
    响应于在所述待布置区域内包括一个或多个网格,确定所述一个或多个网格的第三边界标识线,将所述第三边界标识线与所述各条道路对应的标识线的交点,确定为所述图像采集设备布点位置;
    响应于在所述待布置区域内包括一个或多个主干道,根据所述一个或多个主干道的标识线确定所述图像采集设备布点位置;或,
    响应于在所述待布置区域内包括一个或多个重点位置,在所述一个或多个重点位置周围预设的距离范围内,确定所述图像采集设备布点位置。
  4. 根据权利要求3所述的方法,其中,响应于在所述待布置区域内包括一个或多个主干道,根据所述一个或多个主干道的标识线确定所述图像采集设备布点位置,包括:
    响应于在所述待布置区域内包括所述一个或多个主干道,从所述各条道路对应的标识线中确定所述一个或多个主干道对应的标识线;
    从所述一个或多个主干道对应的标识线中确定关键干道对应的标识线,其中,所述关键干道的标识线为与所述一个或多个包围圈的第一边界标识线存在交点的标识线;
    将不同的所述关键干道对应的标识线之间的交点确定为所述图像采集设备布点位置。
  5. 根据权利要求3或4所述的方法,其中,响应于在所述待布置区域内包括一个或多个重点位置,在所述一个或多个重点位置周围预设的距离范围内确定所述图像采集设备布点位置,包括:
    针对所述一个或多个重点位置中的每个,在该重点位置周围预设的距离范围内,基 于与该重点位置相连的道路的标识线上距离该重点位置最近的交点、以及该重点位置,确定所述图像采集设备布点位置,其中,所述距离该重点位置最近的交点为不同的道路的标识线之间的交点。
  6. 根据权利要求3至5任一项所述的方法,还包括:确定所述图像采集设备布点位置对应的图像采集方向,其中,所述图像采集方向至少包括进或者出所述包围圈的方向。
  7. 根据权利要求3至6任一项所述的方法,还包括以下至少一个:
    对所述图像采集设备布点位置中的重复位置进行去重处理;或,
    去除所述图像采集设备布点位置中与已布置图像采集设备的位置重复的位置。
  8. 根据权利要求3至7任一项所述的方法,还包括:
    根据所述待布置区域内的以下参数确定风险评价指标:
    所述图像采集设备布点位置的数量、
    规划布点位置的数量、和
    已布置图像采集设备的数量;
    根据所述风险评价指标和预设的指标阈值,校正所述图像采集设备布点位置。
  9. 根据权利要求8所述的方法,其中,根据所述风险评价指标和预设的指标阈值,校正所述图像采集设备布点位置,包括:
    响应于所述风险评价指标小于所述指标阈值,从所述图像采集设备布点位置中删除至少一个布点位置,直至所述风险评价指标大于或等于所述指标阈值。
  10. 根据权利要求3至9任一项所述的方法,还包括:
    以每个所述重点位置为起点,以最外层的包围圈为终点,确定沿经过所述重点位置的道路对应的标识线从所述起点到所述终点的路径中的图像采集设备布点位置的数量;
    响应于所述路径中的所述图像采集设备布点位置的数量小于预设的数量阈值,在所述路径中增加至少一个布点位置,直至所述路径中的所述图像采集设备布点位置的数量大于或等于所述预设的数量阈值。
  11. 根据权利要求3至10任一项所述的方法,还包括:
    响应于输入的策略生成操作,确定所述布局策略,其中,所述布局策略包括所述区域等级和位置配比,其中,所述位置配比包括脸部卡口和视频图像采集设备的配比。
  12. 根据权利要求2至11任一项所述的方法,还包括以下至少一个:
    在所述地图上标注所述图像采集设备布点位置;
    响应于导航需求,生成所述图像采集设备布点位置的导航方案;
    响应于接收到对所述图像采集设备布点位置对应的现实区域的修正,修正所述图像采集设备布点位置;或
    响应于在所述图像采集设备布点位置对应的现实区域进行布置,确定所述现实区域处的图像采集设备类型,其中,所述图像采集设备类型为脸部卡口或视频采集设备。
  13. 根据权利要求12所述的方法,还包括:
    针对每个重点位置,以该重点位置为起点,以最外层的包围圈为终点,确定沿经过该重点位置的主干道对应的标识线从所述起点到所述终点的路径中的脸部卡口和视频采集设备的第一比例;
    针对所述图像采集设备布点位置中的每个,确定该图像采集设备布点位置中脸部卡 口和视频采集设备的第二比例;
    响应于所述第一比例大于所述位置配比,或所述第二比例大于所述位置配比,调整所述图像采集设备布点位置中至少一个布点位置的图像采集设备类型,直至所述第一比例不大于所述位置配比,且所述第二比例不大于所述位置配比。
  14. 根据权利要求3至13任一项所述的方法,还包括:
    提取所述图像采集设备布点位置的位置信息和对应的图像采集方向;
    在所述地图上分层显示各个区域等级对应的区域、所述图像采集设备布点位置的标识和所述对应的图像采集方向。
  15. 根据权利要求3至14任一项所述的方法,还包括:
    提取所述图像采集设备布点位置的位置信息和对应的图像采集方向;
    生成图像采集设备布点位置列表,其中,所述列表内包括各个布点位置的标识和对应的图像采集方向。
  16. 一种用于确定图像采集设备位置的装置,包括:
    第一获取模块,用于获取待布置区域的路网信息和重点位置信息;
    第二获取模块,用于针对所述待布置区域,根据布局策略的区域等级确定区域等级范围;
    确定模块,用于根据所述区域等级范围、所述路网信息和所述重点位置信息确定所述图像采集设备布点位置。
  17. 一种电子设备,包括存储器、处理器,所述存储器用于存储可在处理器上运行的计算机指令,所述处理器用于在执行所述计算机指令时实现如权利要求1至15任一项所述的方法。
  18. 一种计算机可读存储介质,其上存储有计算机程序,所述程序被处理器执行时实现如权利要求1至15任一所述的方法。
  19. 一种计算机程序产品,包括存储于存储器中的计算机程序,所述计算机程序指令被处理器执行时实现如权利要求1-15中任意一项所述的方法。
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116978230A (zh) * 2023-08-29 2023-10-31 杭州海康威视系统技术有限公司 一种盲区道路检测方法、装置、电子设备及存储介质
CN117315170A (zh) * 2023-09-12 2023-12-29 华大天元(北京)科技股份有限公司 电网作业环境地图的构建方法、装置、设备及介质
CN117556157A (zh) * 2024-01-10 2024-02-13 每日互动股份有限公司 一种卡口位置的定位方法、装置、介质及设备
CN119942789A (zh) * 2025-01-22 2025-05-06 浙江云通数达科技有限公司 一种卡口设备纠偏系统

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113486880A (zh) * 2021-07-28 2021-10-08 浙江商汤科技开发有限公司 图像采集设备布置方法、装置、电子设备及存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845371A (zh) * 2016-12-31 2017-06-13 中国科学技术大学 一种城市路网机动车尾气排放遥感监控系统
CN108169792A (zh) * 2017-12-12 2018-06-15 武汉墨锦创意科技有限公司 一种地震灾情数据采集管理方法和系统
CN112862203A (zh) * 2021-02-22 2021-05-28 中国城市规划设计研究院 一种确定区域消防站布局的方法、装置、设备及存储介质
CN113179450A (zh) * 2021-03-23 2021-07-27 重庆扬成大数据科技有限公司 一种用于大数据环境下分析城市运营管理的工作方法
CN113486880A (zh) * 2021-07-28 2021-10-08 浙江商汤科技开发有限公司 图像采集设备布置方法、装置、电子设备及存储介质

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845371A (zh) * 2016-12-31 2017-06-13 中国科学技术大学 一种城市路网机动车尾气排放遥感监控系统
CN108169792A (zh) * 2017-12-12 2018-06-15 武汉墨锦创意科技有限公司 一种地震灾情数据采集管理方法和系统
CN112862203A (zh) * 2021-02-22 2021-05-28 中国城市规划设计研究院 一种确定区域消防站布局的方法、装置、设备及存储介质
CN113179450A (zh) * 2021-03-23 2021-07-27 重庆扬成大数据科技有限公司 一种用于大数据环境下分析城市运营管理的工作方法
CN113486880A (zh) * 2021-07-28 2021-10-08 浙江商汤科技开发有限公司 图像采集设备布置方法、装置、电子设备及存储介质

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116978230A (zh) * 2023-08-29 2023-10-31 杭州海康威视系统技术有限公司 一种盲区道路检测方法、装置、电子设备及存储介质
CN117315170A (zh) * 2023-09-12 2023-12-29 华大天元(北京)科技股份有限公司 电网作业环境地图的构建方法、装置、设备及介质
CN117315170B (zh) * 2023-09-12 2024-04-05 华大天元(北京)科技股份有限公司 电网作业环境地图的构建方法、装置、设备及介质
CN117556157A (zh) * 2024-01-10 2024-02-13 每日互动股份有限公司 一种卡口位置的定位方法、装置、介质及设备
CN117556157B (zh) * 2024-01-10 2024-04-05 每日互动股份有限公司 一种卡口位置的定位方法、装置、介质及设备
CN119942789A (zh) * 2025-01-22 2025-05-06 浙江云通数达科技有限公司 一种卡口设备纠偏系统

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