CN115842954A - Target area vehicle monitoring method, device and system and storage medium - Google Patents

Target area vehicle monitoring method, device and system and storage medium Download PDF

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Publication number
CN115842954A
CN115842954A CN202310113125.4A CN202310113125A CN115842954A CN 115842954 A CN115842954 A CN 115842954A CN 202310113125 A CN202310113125 A CN 202310113125A CN 115842954 A CN115842954 A CN 115842954A
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target
vehicle
camera
monitoring
target area
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覃进千
陈磊
王苹
王敏
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Creative Information Technology Co ltd
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Creative Information Technology Co ltd
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Abstract

The invention discloses a method, a device, a system and a storage medium for monitoring vehicles in a target area, wherein the method comprises the steps of acquiring state information of a target vehicle and vehicle intensity of the target area when the target vehicle is detected to enter the target area; determining a camera linkage distance based on the state information and the vehicle intensity; acquiring current position information of a target vehicle, and determining a target camera according to the current position information and the camera linkage distance; and controlling a target camera to collect monitoring videos. According to the invention, the camera linkage distance is determined by acquiring the state information of the target vehicle and the vehicle density of the target area, and the corresponding target cameras in the distance are controlled to monitor the vehicle.

Description

Target area vehicle monitoring method, device and system and storage medium
Technical Field
The invention relates to the technical field of monitoring, in particular to a target area vehicle monitoring method, device and system and a storage medium.
Background
At present, in the related art, a vehicle monitoring system is arranged in an important area (such as a parking lot, a community and a smart city) to effectively solve traffic accident disputes, monitor vehicle tracks and guarantee the life safety of residents.
However, when the existing monitoring system monitors the vehicle, the existing monitoring system generally operates in all time periods, and each camera performs its own function without a linkage monitoring mode. The method adopts the same monitoring strategy for different areas with low monitoring utilization rate, high monitoring utilization rate and the like, so that the monitoring effect is not ideal under the condition of wasting more energy, and more accurate and complete monitoring data can not be provided for solving the traffic accident disputes and monitoring the vehicle tracks.
Disclosure of Invention
The invention mainly aims to provide a method, a device and a system for monitoring a target area vehicle and a storage medium, and aims to solve the technical problems that the monitoring effect of the current target area vehicle monitoring is not ideal and the monitoring data is incomplete.
In order to achieve the above object, the present invention provides a target area vehicle monitoring method for a target area vehicle monitoring apparatus, the method comprising the steps of:
when the target vehicle is detected to enter the target area, acquiring the state information of the target vehicle and the vehicle density of the target area;
determining a camera linkage distance based on the state information and the vehicle intensity;
acquiring current position information of a target vehicle, and determining a target camera according to the current position information and the camera linkage distance;
and controlling a target camera to collect monitoring videos.
Optionally, the state information includes speed information and acceleration information of the target vehicle, and the vehicle density of the target area is the number of cameras executing the acquisition task; the step of determining the linkage distance of the camera based on the state information and the vehicle intensity specifically comprises the following steps: and determining the linkage distance of the cameras based on the speed information and the acceleration information of the target vehicle and the number of the cameras which are executing the acquisition task in the target area.
Optionally, the determining the expression of the camera linkage distance based on the speed information and the acceleration information of the target vehicle and the number of cameras executing the acquisition task in the target area specifically includes:
s=|k×v×a×c|
wherein s is a camera linkage distance, v is speed information of the target vehicle, a is acceleration information of the target vehicle, c is the number of cameras executing the acquisition task in the target area, and k is a constant.
Optionally, the step of obtaining current position information of the target vehicle and determining the target camera according to the current position information and the camera linkage distance specifically includes:
acquiring current position information of a target vehicle, and determining a linkage monitoring coordinate area of the target vehicle according to the current position information and the camera linkage distance;
and traversing the installation coordinate list in which all the cameras in the target area are stored, and matching the target camera in the linkage monitoring coordinate range for the target vehicle.
Optionally, after the step of obtaining the current location information of the target vehicle, the method further includes:
according to the current position information of the target vehicle, determining a key monitoring coefficient of the current position in a comparison table of the position information of the target area and the key monitoring coefficient;
and correcting the linkage distance of the camera based on the key monitoring coefficient.
Optionally, in the comparison table of the position information and the terminal monitoring coefficient, the position information corresponding to the road narrow area and/or the accident-prone area has a higher key monitoring coefficient; the expression for correcting the linkage distance of the camera specifically comprises:
s’=s×i
and s' is the corrected linkage distance of the camera, s is the linkage distance of the camera, and i is a key monitoring coefficient corresponding to the current position information.
Optionally, the step of controlling the target camera to collect the monitoring video specifically includes:
controlling a target camera to collect a monitoring video, collecting a relevant mark of a target vehicle, and performing marking operation on the monitoring video;
and acquiring the monitoring videos which are acquired by all the cameras and have the relevant identification of the target vehicle, and generating the independent monitoring videos of the target vehicle passing through the target area.
Further, in order to achieve the above object, the present invention also provides a target area vehicle monitoring apparatus including:
the acquisition module is used for acquiring the state information of the target vehicle and the vehicle density of the target area when the target vehicle is detected to enter the target area;
the first determining module is used for determining the linkage distance of the camera based on the state information and the vehicle intensity;
the second determining module is used for acquiring the current position information of the target vehicle and determining the target camera according to the current position information and the camera linkage distance;
and the monitoring module is used for controlling the target camera to collect the monitoring video.
In addition, in order to achieve the above object, the present invention also provides a target area vehicle monitoring system including:
the cameras are distributed in the target area;
regional vehicle monitoring equipment of target connects a plurality of camera, control the camera gathers surveillance video, acquires the surveillance video that the camera gathered, regional vehicle monitoring equipment of target includes: a memory, a processor, and a target area vehicle monitoring program stored on the memory and executable on the processor, the target area vehicle monitoring program when executed by the processor implementing the steps of the target area vehicle monitoring method as described above.
In addition, in order to achieve the above object, the present invention also provides a storage medium having a target-area vehicle monitoring program stored thereon, which when executed by a processor, implements the steps of the target-area vehicle monitoring method described above.
The embodiment of the invention provides a method, a device, a system and a storage medium for monitoring vehicles in a target area, wherein the method comprises the steps of acquiring state information of a target vehicle and vehicle density of the target area when the target vehicle is detected to enter the target area; determining a camera linkage distance based on the state information and the vehicle intensity; acquiring current position information of a target vehicle, and determining a target camera according to the current position information and the camera linkage distance; and controlling a target camera to collect monitoring videos. According to the invention, the camera linkage distance is determined by acquiring the state information of the target vehicle and the vehicle density of the target area, and the corresponding target cameras in the distance are controlled to monitor the vehicle.
Drawings
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart diagram of a target area vehicle monitoring method embodiment of the present invention;
fig. 3 is a block diagram of a target area vehicle monitoring apparatus according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory such as a disk memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the apparatus shown in fig. 1 is not intended to be limiting of the apparatus and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a target area vehicle monitoring program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting a background server and communicating data with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to invoke the target area vehicle monitoring program stored in the memory 1005 and perform the following operations:
when the target vehicle is detected to enter the target area, acquiring the state information of the target vehicle and the vehicle density of the target area;
determining a camera linkage distance based on the state information and the vehicle intensity;
acquiring current position information of a target vehicle, and determining a target camera according to the current position information and the camera linkage distance;
and controlling a target camera to collect monitoring videos.
The specific embodiment of the present invention applied to the device is substantially the same as the following embodiments of the target area vehicle monitoring method, and will not be described herein again.
An embodiment of the invention provides a target area vehicle monitoring method, and referring to fig. 2, fig. 2 is a schematic flow chart of the target area vehicle monitoring method embodiment of the invention.
In this embodiment, the target area vehicle monitoring method is used for a target area vehicle monitoring device, and includes the following steps:
and step S100, when the target vehicle is detected to enter the target area, acquiring the state information of the target vehicle and the vehicle density of the target area.
Specifically, in the present embodiment, the state information includes speed information and acceleration information of the target vehicle, and the vehicle density of the target area is the number of cameras that perform the collection task.
And S200, determining a camera linkage distance based on the state information and the vehicle intensity.
Specifically, in the present embodiment, the camera linkage distance is determined based on the state information and the vehicle density, and the camera linkage distance may be determined by the number of cameras that are performing the acquisition task in the target area based on the speed information and the acceleration information of the target vehicle.
Furthermore, based on the speed information and the acceleration information of the target vehicle and the number of cameras executing the collection task in the target area, an expression of the camera linkage distance is determined, specifically:
s=|k×v×a×c|
wherein s is a camera linkage distance, v is speed information of the target vehicle, a is acceleration information of the target vehicle, c is the number of cameras executing the acquisition task in the target area, and k is a constant.
It should be noted that, since the speed and the acceleration of the target vehicle in the target area and the number of vehicles in the target area all affect the occurrence of traffic accidents and disputes, when determining the camera linkage distance, the present embodiment considers the speed information and the acceleration information of the target vehicle and the number of vehicles in the target area, where the number of vehicles in the target area is measured by the number of cameras in the target area that are executing the collection task. That is, the faster the running speed of the target vehicle in the target area, the higher the acceleration, and the more vehicles in the target area, the larger camera linkage distance is dynamically generated, and further, the more target cameras for monitoring the target vehicle are determined by the camera linkage distance, so that more comprehensive, perfect, and different-angle monitoring data are provided for the target vehicle.
And step S300, acquiring current position information of the target vehicle, and determining the target camera according to the current position information and the camera linkage distance.
Specifically, in this embodiment, current position information of a target vehicle is acquired, a target camera is determined according to the current position information and the camera linkage distance, and a linkage monitoring coordinate area of the target vehicle is determined according to the current position information and the camera linkage distance by acquiring the current position information of the target vehicle; and traversing the installation coordinate list in which all the cameras in the target area are stored, and matching the target camera in the linkage monitoring coordinate range for the target vehicle.
In another embodiment, after the current position information of the target vehicle is obtained, the key monitoring coefficient of the current position can be determined in the comparison table of the position information of the target area and the key monitoring coefficient according to the current position information of the target vehicle; and correcting the linkage distance of the camera based on the key monitoring coefficient.
And in the comparison table of the position information and the terminal monitoring coefficient, the position information corresponding to the road narrow area and/or the accident-prone area has a higher key monitoring coefficient. Therefore, the expression for correcting the linkage distance of the camera is specifically as follows:
s’=s×i
and s' is the corrected linkage distance of the camera, s is the linkage distance of the camera, and i is a key monitoring coefficient corresponding to the current position information.
In this embodiment, after the current position information is obtained, the camera linkage distance is corrected according to the key monitoring coefficient of the current position, and after the camera linkage distance is obtained, the linkage monitoring coordinate region of the target vehicle can be determined according to the camera linkage distance and the current position information of the target vehicle, where the coordinate region is usually circular, that is, when the target vehicle travels in the target region, only the camera in the linkage monitoring coordinate region range is determined as the target camera.
And S400, controlling a target camera to collect monitoring videos.
Specifically, in the embodiment, a target camera is controlled to collect a monitoring video, the monitoring video is collected through the target camera, a relevant identification of a target vehicle is collected, and marking operation is performed on the monitoring video; and acquiring the monitoring videos which are acquired by all the cameras and have the relevant identification of the target vehicle, and generating the independent monitoring videos of the target vehicle passing through the target area.
It should be noted that after the target camera is determined, the target camera may be controlled to start operation, or awaken from a low power consumption sleep mode to perform video monitoring on the target vehicle.
On the other hand, after the videos of the target vehicles are collected by the plurality of cameras in the camera linkage distance range, if the surveillance videos need to be checked due to traffic accidents or disputes, the videos need to be searched one by one in the plurality of surveillance videos, in order to improve efficiency, when the surveillance videos are collected, the related identification of the target vehicles is collected, marking operation is carried out on the surveillance videos, meanwhile, all the surveillance videos with the related identification of the target vehicles are combined, the independent surveillance videos of the target vehicles passing through the target area are generated, and checking is facilitated.
Therefore, independent monitoring videos of each vehicle passing through a target area are stored in a database of the monitoring system, the independent monitoring videos are automatically synthesized by monitoring videos collected by a plurality of target cameras, and monitoring pictures collected by a plurality of target cameras at the same position can be displayed in a split screen mode within the simultaneous collection time range. According to the embodiment, the independent monitoring video of the target vehicle passing through the target area is generated, so that the efficiency of monitoring video viewing is improved, and more comprehensive and complete monitoring data are provided for traffic accidents or disputes in the target area.
In the embodiment, a target area vehicle monitoring method is provided, a camera linkage distance is determined by obtaining state information of a target vehicle and vehicle density of a target area, and a corresponding target camera in the distance is controlled to monitor the vehicle.
Referring to fig. 3, fig. 3 is a block diagram showing the configuration of the first embodiment of the target area vehicle monitoring apparatus of the present invention.
As shown in fig. 3, a target area vehicle monitoring apparatus according to an embodiment of the present invention includes:
an obtaining module 2001 for obtaining state information of the target vehicle and vehicle density of the target area when it is detected that the target vehicle enters the target area;
a first determining module 2002 for determining a camera linkage distance based on the status information and the vehicle intensity;
a second determining module 2003, configured to obtain current position information of a target vehicle, and determine a target camera according to the current position information and the camera linkage distance;
and a monitoring module 2004 for controlling the target camera to collect the monitoring video.
Other embodiments or specific implementation manners of the target area vehicle monitoring device of the present invention may refer to the above method embodiments, and are not described herein again.
In addition, the present invention also provides a target area vehicle monitoring system, including:
the cameras are distributed in the target area;
regional vehicle monitoring equipment of target connects a plurality of camera, control the camera gathers surveillance video, acquires the surveillance video that the camera gathered, regional vehicle monitoring equipment of target includes: a memory, a processor, and a target area vehicle monitoring program stored on the memory and executable on the processor, the target area vehicle monitoring program when executed by the processor implementing the steps of the target area vehicle monitoring method as described above.
The specific implementation of the target area vehicle monitoring device of the present application is substantially the same as that of each embodiment of the target area vehicle monitoring method, and is not described herein again.
Furthermore, the present invention also proposes a readable storage medium including a computer-readable storage medium having a target area vehicle monitoring program stored thereon. The readable storage medium may be the Memory 1005 in the terminal in fig. 1, and may also be at least one of a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, and an optical disk, where the readable storage medium includes several instructions to enable a target area vehicle monitoring device with a processor to execute the target area vehicle monitoring method according to various embodiments of the present invention.
The specific implementation of the target area vehicle monitoring program in the readable storage medium of the present application is substantially the same as that of each embodiment of the target area vehicle monitoring method, and is not described herein again.
It is to be understood that throughout the description of the present specification, reference to the term "one embodiment", "another embodiment", "other embodiments", or "first through nth embodiments", etc., is intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or the portions contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A target area vehicle monitoring method for a target area vehicle monitoring apparatus, the method comprising the steps of:
when the target vehicle is detected to enter the target area, acquiring the state information of the target vehicle and the vehicle density of the target area;
determining a camera linkage distance based on the state information and the vehicle intensity;
acquiring current position information of a target vehicle, and determining a target camera according to the current position information and the camera linkage distance;
and controlling a target camera to collect monitoring videos.
2. The target area vehicle monitoring method of claim 1, wherein the status information includes speed information and acceleration information of a target vehicle, and the vehicle density of the target area is the number of cameras performing an acquisition task; the step of determining the linkage distance of the camera based on the state information and the vehicle intensity specifically comprises the following steps: and determining the linkage distance of the cameras based on the speed information and the acceleration information of the target vehicle and the number of the cameras which are executing the acquisition task in the target area.
3. The target area vehicle monitoring method according to claim 2, wherein the determining the expression of the camera linkage distance based on the speed information and acceleration information of the target vehicle and the number of cameras in the target area that are executing the collection task specifically comprises:
s=|k×v×a×c|
wherein s is a camera linkage distance, v is speed information of the target vehicle, a is acceleration information of the target vehicle, c is the number of cameras executing the acquisition task in the target area, and k is a constant.
4. The target area vehicle monitoring method according to claim 1, wherein the step of obtaining current position information of a target vehicle and determining a target camera according to the current position information and the camera linkage distance specifically comprises:
acquiring current position information of a target vehicle, and determining a linkage monitoring coordinate area of the target vehicle according to the current position information and the camera linkage distance;
and traversing the installation coordinate list in which all the cameras in the target area are stored, and matching the target vehicle with the target camera in the linkage monitoring coordinate range.
5. The target area vehicle monitoring method of claim 4, wherein after the step of obtaining current location information of the target vehicle, the method further comprises:
according to the current position information of the target vehicle, determining a key monitoring coefficient of the current position in a comparison table of the position information of the target area and the key monitoring coefficient;
and correcting the linkage distance of the camera based on the key monitoring coefficient.
6. The target area vehicle monitoring method of claim 5, wherein the location information has a higher key monitoring coefficient with respect to location information corresponding to a road narrow area and/or an accident-prone area in the terminal monitoring coefficient lookup table; the expression for correcting the linkage distance of the camera specifically includes:
s’=s×i
and s' is the corrected linkage distance of the camera, s is the linkage distance of the camera, and i is a key monitoring coefficient corresponding to the current position information.
7. The target area vehicle monitoring method of claim 1, wherein the step of controlling the target camera to collect the monitoring video specifically comprises:
controlling a target camera to collect a monitoring video, collecting a relevant mark of a target vehicle, and performing marking operation on the monitoring video;
and acquiring the monitoring videos which are acquired by all the cameras and have the relevant identification of the target vehicle, and generating the independent monitoring videos of the target vehicle passing through the target area.
8. A target area vehicle monitoring apparatus, comprising:
the acquisition module is used for acquiring the state information of the target vehicle and the vehicle density of the target area when the target vehicle is detected to enter the target area;
the first determining module is used for determining the linkage distance of the camera based on the state information and the vehicle intensity;
the second determining module is used for acquiring the current position information of the target vehicle and determining the target camera according to the current position information and the camera linkage distance;
and the monitoring module is used for controlling the target camera to collect the monitoring video.
9. A target area vehicle monitoring system, comprising:
the cameras are distributed in the target area;
regional vehicle monitoring equipment of target connects a plurality of camera, control the camera gathers surveillance video, acquires the surveillance video that the camera gathered, regional vehicle monitoring equipment of target includes: a memory, a processor, and a target area vehicle monitoring program stored on the memory and executable on the processor, the target area vehicle monitoring program when executed by the processor implementing the steps of the target area vehicle monitoring method as claimed in any one of claims 1 to 7.
10. A storage medium having stored thereon a target area vehicle monitoring program which, when executed by a processor, implements the steps of the target area vehicle monitoring method according to any one of claims 1 to 7.
CN202310113125.4A 2023-02-15 2023-02-15 Target area vehicle monitoring method, device and system and storage medium Pending CN115842954A (en)

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CN116824348A (en) * 2023-06-15 2023-09-29 海易科技(北京)有限公司 Hidden danger information generation method, hidden danger information generation device, electronic equipment and computer readable medium
CN116824348B (en) * 2023-06-15 2024-04-30 海易科技(北京)有限公司 Hidden danger information generation method, hidden danger information generation device, electronic equipment and computer readable medium
CN117576945A (en) * 2024-01-16 2024-02-20 创意信息技术股份有限公司 Parking task scheduling control method, device, equipment and storage medium for parking lot
CN117576945B (en) * 2024-01-16 2024-04-09 创意信息技术股份有限公司 Parking task scheduling control method, device, equipment and storage medium for parking lot

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Application publication date: 20230324