WO2021159310A1 - 一种违章监控系统及违章监控方法 - Google Patents

一种违章监控系统及违章监控方法 Download PDF

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Publication number
WO2021159310A1
WO2021159310A1 PCT/CN2020/074888 CN2020074888W WO2021159310A1 WO 2021159310 A1 WO2021159310 A1 WO 2021159310A1 CN 2020074888 W CN2020074888 W CN 2020074888W WO 2021159310 A1 WO2021159310 A1 WO 2021159310A1
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WO
WIPO (PCT)
Prior art keywords
vehicle
camera
violation
video
control unit
Prior art date
Application number
PCT/CN2020/074888
Other languages
English (en)
French (fr)
Inventor
王睿
马志伟
Original Assignee
深圳市锐明技术股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市锐明技术股份有限公司 filed Critical 深圳市锐明技术股份有限公司
Priority to US16/754,094 priority Critical patent/US11967228B2/en
Priority to PCT/CN2020/074888 priority patent/WO2021159310A1/zh
Priority to CN202080000109.9A priority patent/CN111492416A/zh
Publication of WO2021159310A1 publication Critical patent/WO2021159310A1/zh

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Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image
    • G06T3/40Scaling the whole image or part thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625License plates
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30236Traffic on road, railway or crossing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08Detecting or categorising vehicles

Definitions

  • This application belongs to the field of monitoring technology, and in particular relates to a vehicle monitoring system and a vehicle monitoring method.
  • the embodiments of the present application provide a violation monitoring method and a violation monitoring system, which can realize intelligent monitoring of violation vehicles and reduce the occurrence of missed inspections of violation vehicles.
  • an embodiment of the present application provides a violation monitoring system, including:
  • the first camera is used to monitor whether there are illegal vehicles in the designated area, and generate alarm information when there are such illegal vehicles;
  • the control unit connected to the above-mentioned first camera is configured to trigger the second camera to shoot according to the above-mentioned alarm information
  • the second camera connected to the above-mentioned control unit is used to shoot the above-mentioned illegal vehicle to obtain vehicle video and vehicle image, wherein the above-mentioned vehicle video is a video containing the license plate of the above-mentioned illegal vehicle, and the above-mentioned vehicle image contains the above The image of the license plate of the offending vehicle.
  • the embodiments of the present application provide a method for monitoring violations, including:
  • the illegal vehicle is photographed according to the warning information to obtain a vehicle video and a vehicle image, wherein the vehicle video is a video containing the license plate of the illegal vehicle, and the vehicle image is an image containing the license plate of the illegal vehicle.
  • the solution of this application is based on the first camera, the second camera, and the control unit to form a violation monitoring system.
  • the first camera is used to monitor whether there is a violation vehicle in the designated area, and generates an alarm message when there is the violation vehicle.
  • the control unit connected to the first camera is used to trigger the second camera to shoot according to the alarm information
  • the second camera connected to the control unit is used to shoot the illegal vehicle to obtain vehicle video and vehicle images ,
  • the vehicle video is a video containing the license plate of the illegal vehicle
  • the vehicle image is an image containing the license plate of the illegal vehicle.
  • Figure 1 is a structural block diagram of a violation monitoring system provided by an embodiment of the present application.
  • FIG. 2 is a schematic diagram of the installation of the first camera and the second camera on the school bus in the violation monitoring system provided by the embodiment of the present application;
  • FIG. 3 is a schematic diagram of a road section parallel to the school bus in the violation monitoring system provided by the embodiment of the present application;
  • FIG. 4 is a schematic diagram of a picture captured by a first camera in the violation monitoring system provided by an embodiment of the present application
  • Fig. 5 is a schematic diagram of the implementation process of the violation monitoring method provided by the embodiment of the present application.
  • the term “if” can be construed as “when” or “once” or “in response to determination” or “in response to detecting “.
  • the phrase “if determined” or “if detected [described condition or event]” can be interpreted as meaning “once determined” or “in response to determination” or “once detected [described condition or event]” depending on the context ]” or “in response to detection of [condition or event described]”.
  • FIG. 1 shows the architecture diagram of the violation monitoring system 1 described above:
  • the violation monitoring system 1 is specifically composed of a first camera 11, a control unit 12 and a second camera 13.
  • the first camera 11 and the second camera 13 are all connected to the control unit 12, and the first camera 11, the control unit 12, and the second camera 13 are all mounted on the school bus.
  • the foregoing connection may be a wireless connection; of course, for information transmission speed considerations, the foregoing connection may also be a wired connection.
  • the connection mode of the first camera 11 and the control unit 12 and the second The connection between the camera 13 and the aforementioned control unit 12 is limited.
  • the above-mentioned first camera 11 is used to monitor whether there are illegal vehicles in the designated area, and when there is the above-mentioned illegal vehicles, generate alarm information;
  • the above-mentioned control unit 12 is configured to trigger the second camera 13 to shoot according to the above-mentioned alarm information
  • the second camera 13 is used to photograph the illegal vehicle to obtain a vehicle video and a vehicle image, wherein the vehicle video is a video containing the license plate of the illegal vehicle, and the vehicle image is a license plate containing the illegal vehicle Image.
  • the above-mentioned first camera 11 is specifically a smart camera, and the smart camera is a camera containing smart algorithms, that is, the first camera 11 can not only collect video, but also use image intelligence based on the collected video.
  • the processing analysis technology identifies and tracks the trajectory of the target vehicle entering the designated area to determine whether the target vehicle is a vehicle in violation of regulations. Specifically, after the above-mentioned first camera 11 is started, it starts to continuously analyze the collected real-time images, so as to avoid the missed detection of vehicles in violation of regulations.
  • the first camera 11 can be installed on the outside of the vehicle in the middle section of the school bus and be level with the top of the vehicle or slightly below the top of the vehicle, so as to obtain a better monitoring view; of course, it can also be Installed in other locations, as long as the first camera 11 can monitor the designated area, it is not limited here; wherein, the designated area at least covers the road section parallel to the school bus, please refer to Figure 3, which is shown in Figure 3. A schematic diagram of the road section parallel to the school bus. Through the above-mentioned first camera 11, it is possible to monitor the road when the school bus stops on the side of the road, and to timely identify whether there are illegal vehicles passing on the road section where the school bus stops.
  • the first camera 11 During the monitoring process of the first camera 11, once it monitors that there is an offending vehicle in the specified area, it can immediately generate alarm information based on the offending vehicle.
  • the above-mentioned alarm information may be reported to the above-mentioned control unit 12.
  • control unit 12 When the above-mentioned control unit 12 receives the alarm information sent by the above-mentioned first camera 11, it can learn that there is an illegal vehicle on the road section where the current school bus stops. At this time, in order to realize the information recording of the illegal vehicle, the control unit 12 may generate a shooting instruction of the second camera 13 based on the alarm information, and send the shooting instruction to the second camera 13 to trigger the second camera 13 to shoot.
  • the second camera 13 After the second camera 13 receives the shooting instruction sent by the control unit 12, it shoots the illegal vehicle, specifically to perform a photographing operation and a photographing operation, so as to obtain a vehicle image through a photographing operation, and obtain a vehicle video through a photographing operation ,
  • the vehicle video is a video containing the license plate of the illegal vehicle
  • the vehicle image is an image containing the license plate of the illegal vehicle.
  • the above-mentioned second camera 13 is a high-definition camera, and the image obtained by it has a high resolution (for example, it may be 5MP). Through the shooting of the second camera 13, license plate recognition can be performed, which helps supervisors to see clearly the license plate number of the illegal vehicle, and realizes the information recording of the illegal vehicle.
  • the first camera 11 can also be used for real-time recording during monitoring.
  • the image intelligent processing and analysis technology can be used to determine the start frame and end frame of the violation vehicle in the collected images, and based on the start frame and end frame interception to obtain the violation vehicle status
  • the driving video in the above-mentioned designated area; that is, the above-mentioned driving video can record the driving route of the above-mentioned illegal video from entering the above-mentioned designated area to leaving the above-mentioned designated area, which can be used to indicate the violation of the above-mentioned vehicle in the above-mentioned designated area .
  • both the first camera 11 and the second camera 13 can record the illegal vehicle, but the first camera 11 prefers to record the whole, that is, to record the violation process of the illegal vehicle;
  • the second camera 13 tends to record details, that is, to record the information of the illegal vehicle itself, such as the license plate number of the illegal vehicle.
  • the first camera 11 may send the driving video of the illegal vehicle obtained by it to the control unit 12; the second camera 13 may also include the illegal vehicle
  • the vehicle image and vehicle video of the license plate of the vehicle are sent to the control unit 12; the control unit 12 can also be used to encapsulate the generation time of the warning information, the vehicle video, the vehicle image, and the driving video as the violation information of the vehicle in violation of the regulations.
  • the generation time of the above-mentioned alarm information is the violation time of the above-mentioned vehicle in violation .
  • the violation monitoring system 1 further includes a cloud platform 14 connected to the control unit 12; then the control unit 12 is also used to upload the violation information of the violation vehicle to The above cloud platform.
  • the background supervisory personnel for example, traffic police
  • the backstage supervisor will issue a fine to the violating vehicle. By issuing fines, we will gradually reduce the number of illegal vehicles and ensure the safety of students before and after getting on the bus.
  • the above-mentioned control unit 12 starts to work after the school bus is ignited, and detects in real time whether the school bus is in a preset parking state; when it is detected that the school bus is in the above-mentioned parking state, it can trigger the above-mentioned first camera 11 and The second camera 13 is activated, and when the school bus is not in the parked state, the first camera 11 and the second camera 13 are triggered to shut down to save resources.
  • the first camera 11 immediately starts to monitor the designated area in real time after being activated; and the second camera 13 does not need to enter the shooting state of the offending vehicle immediately after activation. In fact, the designated area cannot be determined.
  • the above-mentioned second camera 13 only takes pictures within a period of time after the first camera 11 generates the alarm information (that is, after it is determined that there are illegal vehicles in the designated area).
  • the process of the aforementioned control unit 12 detecting whether the school bus is in a preset parking state is as follows: Obtain the global positioning system (Global Positioning System) of the school bus. Positioning System, GPS) speed, pulse speed and/or Controller Area Network (Controller Area) Network, CAN) signal, and judge whether the vehicle is parked according to the GPS speed, pulse speed and/or CAN signal of the vehicle, that is, judge whether the school bus is based on the GPS speed, pulse speed and/or CAN signal of the vehicle Already parked.
  • Global Positioning System Global Positioning System
  • GPS GPS speed
  • Pul speed and/or Controller Area Network Controller Area Network
  • CAN Controller Area Network
  • a stop signal is set on school buses. When the school bus stops and waits for students to get on and off the bus, the driver of the school bus will turn on the stop signal.
  • the stop signal is turned on, the stop signal is connected to the end of the line Therefore, when the above-mentioned school bus is in the parking state and the level state of the access line end of the school bus stop signal plate is high, it can be determined that the school bus is currently in the preset parking state. At this time, the first camera 11 and the second camera 13 should be triggered or kept in the activated state.
  • the first camera 11 and the second camera 13 should be triggered or kept in the off state.
  • the real-time picture captured by the first camera 11 is usually distorted, resulting in a smaller image presented in the distance of the real-time picture.
  • the first camera 11 can use the real-time picture captured by the first camera 11, that is, the designated area. Divide in to get the prospective area.
  • Figure 4 gives an example of a designated area (its boundary is the largest rectangular frame composed of black and white line segments in Figure 4) and an example of a distant view area (its boundary is the black line segment in Figure 4 Constitute a medium-sized rectangular box).
  • the above-mentioned distant view area may be enlarged to obtain an enlarged image, and the first camera 11 monitors the above-mentioned distant view area based on the above-mentioned enlarged image. That is, for the first camera 11, in addition to the analysis of the image of the entire designated area obtained by its direct shooting, the above-mentioned enlarged image (that is, the image after the enlargement processing of the distant view area) is also performed. Analyze to achieve precise monitoring.
  • the above-mentioned first camera 11 may also divide the above-mentioned designated area to obtain a violation area, and determine whether a vehicle entering the designated area is in violation of the regulations through the violation area. Specifically, when a target vehicle (that is, a vehicle entering the designated area) is detected, the target vehicle may be identified to obtain the tracking frame of the target vehicle, based on the boundary between the tracking frame of the target vehicle and the violation area Interactively determine whether the above-mentioned target vehicle is a violation vehicle; as shown in Figure 4, Figure 4 also gives an example of a violation area (its boundary is a trapezoidal frame formed by the black line segments in Figure 4) and a tracking frame of the target vehicle ( An example of the smallest rectangular frame formed by the white line segments in Figure 4).
  • the foregoing determination of whether the target vehicle is a violation vehicle based on the interaction between the tracking frame of the target vehicle and the boundary of the violation area can be set based on the needs of the user: in an application scenario, when the tracking of the target vehicle is detected When the frame crosses the boundary with the above-mentioned violation area, that is, when the target vehicle enters the above-mentioned violation area, it is considered that the target vehicle is in violation.
  • the target vehicle is determined to be a violation vehicle;
  • the target vehicle is determined to be a violation vehicle; of course, whether the above-mentioned target vehicle is a violation vehicle can also be determined by other means, which is not limited here.
  • the second camera 13 can be installed outside the middle section of the school bus and slightly lower than the lower edge of the school bus's window to better take pictures of the illegal vehicle. License plate.
  • the second camera 13 may be composed of a plurality of high-definition cameras.
  • the second camera 13 may include a second front-facing camera and a second rear-facing camera.
  • the control unit 12 is specifically configured to respond to the alarm information and In the area where the vehicle is located, the target second camera 13 is determined from the second front-facing camera and the second rear-facing camera, and the target second camera 13 is triggered to shoot.
  • the license plate of the illegal vehicle can only be photographed when the illegal vehicle leaves the illegal area; that is, According to the driving direction of the violating vehicle, the second camera 13 facing the whereabouts of the violating vehicle among the second forward camera and the second backward camera is determined as the target second camera 13, and the target second camera 13 is triggered to perform Shooting; for example, when the above-mentioned vehicle is located in China, taking into account that Chinese vehicles have license plates on the rear and head of the vehicle, it is possible to shoot when the offending vehicle enters and leaves the offending area To the license plate of the illegal vehicle; that is, the above-mentioned second forward camera and the second backward camera can both be determined as the second forward camera and the second backward camera, and the second camera 13 is triggered for these two targets. Shooting, or randomly determining any one of the foregoing second front-facing camera and second rear-facing
  • control unit may be constituted by a video recorder, that is, the above-mentioned control unit may also have a video recording function, and continuously record the environment of the vehicle during the working process of the control unit.
  • the image recognition technology can be used to monitor whether there are vehicles passing on the road in real time, and the monitoring results are fed back to the control unit;
  • the control unit obtains the driving video of the illegal vehicle through the smart camera, and obtains the vehicle video and vehicle image containing the license plate of the illegal vehicle through the high-definition camera, integrates the violation information of the illegal vehicle and uploads it to the cloud platform for review by the back-end supervisory personnel; After review and confirmation, the back-office supervisor will issue a fine and impose a fine on the vehicle that violates the regulations.
  • the following describes a violation monitoring method provided by an embodiment of the present application.
  • the above violation monitoring method is applied to the violation monitoring system proposed above. Please refer to FIG. 5.
  • the violation monitoring method in the embodiment of the present application includes:
  • Step 501 monitoring whether there are illegal vehicles in the designated area
  • Step 502 when there is the above-mentioned illegal vehicle, generate a warning message
  • step 503 the above-mentioned illegal vehicle is photographed according to the above-mentioned alarm information to obtain a vehicle video and a vehicle image, wherein the above-mentioned vehicle video is a video containing the license plate of the above-mentioned illegal vehicle, and the above-mentioned vehicle image is a video containing the license plate of the above-mentioned illegal vehicle. image.
  • the above violation monitoring method further includes:
  • the above violation monitoring method includes:
  • the generation time of the warning information, the vehicle video, the vehicle image, and the driving video are packaged as the violation information of the violation vehicle.
  • the above violation monitoring method includes:
  • the above violation monitoring method includes:
  • the first camera and the second camera are triggered to start, wherein the first camera is used to monitor whether there are illegal vehicles in the designated area, and the second camera is used to monitor the illegal vehicles according to the alarm information. Take a shot
  • the first camera and the second camera are triggered to shut down.
  • the step of detecting whether the vehicle is in a preset parking state includes:
  • the step of monitoring whether there are illegal vehicles in the designated area includes:
  • the above-mentioned distant view area is monitored based on the above-mentioned enlarged image.
  • the step of monitoring whether there are illegal vehicles in the designated area includes:
  • the target vehicle When there is a target vehicle entering the designated area, the target vehicle is identified to obtain the tracking frame of the target vehicle;
  • the target vehicle Based on the interaction between the tracking frame of the target vehicle and the boundary of the violation area, it is determined whether the target vehicle is a violation vehicle.
  • the second camera includes a second forward camera and a second rear camera; the violation monitoring method further includes: according to the alarm information and the location of the vehicle, the second forward camera and the second camera Second, the target second camera is determined from the backward camera, and the target second camera is triggered to shoot.
  • the image recognition technology can be used to monitor whether there are vehicles passing on the road in real time, and the monitoring results are fed back to the control Unit; when there is an illegal vehicle, the control unit obtains the driving video of the illegal vehicle through the smart camera, and obtains the vehicle video and vehicle image containing the license plate of the illegal vehicle through the high-definition camera, integrates the violation information of the illegal vehicle and uploads it to the cloud platform For back-office supervisors to review; after the back-office supervisors confirm the review, they will issue a fine and impose a fine on the vehicle that violates the regulations.
  • illegal vehicles can be reduced to a certain extent, and the safety of students before and after getting off the bus can be guaranteed.
  • the above-mentioned functions can be allocated by different functional modules as required. , That is, divide the internal structure of the above system into different functional modules to complete all or part of the functions described above.
  • the functional modules in the embodiment can be integrated in one module, or each module can exist alone physically, or two or more modules can be integrated in one module.
  • the above-mentioned integrated modules can be It can be realized in the form of hardware, or it can be realized in the form of software function modules.
  • the specific names of the functional modules are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present application. For the specific implementation process of the foregoing method, reference may be made to the corresponding working process of each functional module in the foregoing system embodiment, which will not be repeated here.
  • the disclosed device and method may be implemented in other ways.
  • the system embodiment described above is only illustrative.
  • the division of the above-mentioned modules is only a logical function division.
  • there may be other division methods for example, multiple modules may be combined or may be Integrate into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces.
  • the indirect coupling or communication connection of the modules may be in electrical, mechanical or other forms.
  • modules described above as separate components may or may not be physically separate, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed to multiple network modules. Group on. Some or all of the modules may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the above-mentioned integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium.
  • this application implements all or part of the processes in the above-mentioned embodiments and methods, and can also be completed by instructing relevant hardware through a computer program.
  • the above-mentioned computer program can be stored in a computer-readable storage medium, and the computer program When executed by the processor, the steps of the foregoing method embodiments can be implemented.
  • the above-mentioned computer program includes computer program code, and the above-mentioned computer program code may be in the form of source code, object code, executable file, or some intermediate forms.
  • the above-mentioned computer-readable storage medium may include: any entity or device capable of carrying the above-mentioned computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer readable memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • electrical carrier signals telecommunications signals
  • software distribution media software distribution media.
  • the content contained in the above-mentioned computer-readable storage medium can be appropriately added or deleted according to the requirements of the legislation and patent practice in the jurisdiction.
  • the computer-readable storage The medium does not include electrical carrier signals and telecommunication signals.

Abstract

一种违章监控系统(1)及违章监控方法,其中,违章监控系统(1)包括:第一摄像机(11),用于监控指定区域是否存在违章车辆,并在存在所述违章车辆时,生成报警信息;与第一摄像机(11)相连的控制单元(12),用于根据报警信息触发第二摄像机(13)进行拍摄;与控制单元(12)相连的第二摄像机(13),用于对违章车辆进行拍摄,以获得车辆视频及车辆图像,其中,车辆视频为包含有违章车辆的车牌的视频,车辆图像为包含有违章车辆的车牌的图像。通过本方案,可以在校车停靠后对马路进行监控,在出现通行的违章车辆时进行记录,执法人员可以此为依据开具罚单,以减少违章车辆,保障学生上车前及下车后的安全。

Description

一种违章监控系统及违章监控方法 技术领域
本申请属于监控技术领域,尤其涉及一种车辆监控系统及车辆监控方法。
背景技术
许多国家或地区已有明文规定,在校车接送学生并停靠在路边时,为了保证学生安全过马路,其它机动车均不允许通行,否则将视为违章。
技术问题
当前,校车在停靠时,需要依靠校车司机及带队老师人工进行监控;然而人工监控难免出现疏漏,难以记录下所有违章车辆的信息。
技术解决方案
本申请实施例提供了一种违章监控方法及违章监控系统,可实现违章车辆的智能监控,减少出现违章车辆的漏检的情况。
第一方面,本申请实施例提供了一种违章监控系统,包括:
第一摄像机,用于监控指定区域是否存在违章车辆,并在存在上述违章车辆时,生成报警信息;
与上述第一摄像机相连的控制单元,用于根据上述报警信息触发第二摄像机进行拍摄;
与上述控制单元相连的第二摄像机,用于对上述违章车辆进行拍摄,以获得车辆视频及车辆图像,其中,上述车辆视频为包含有上述违章车辆的车牌的视频,上述车辆图像为包含有上述违章车辆的车牌的图像。
第二方面,本申请实施例提供了一种违章监控方法,包括:
监控指定区域是否存在违章车辆,并在存在上述违章车辆时,生成报警信息;
根据上述报警信息对上述违章车辆进行拍摄,以获得车辆视频及车辆图像,其中,上述车辆视频为包含有上述违章车辆的车牌的视频,上述车辆图像为包含有上述违章车辆的车牌的图像。
有益效果
由上可见,本申请方案基于第一摄像机、第二摄像机及控制单元构成一违章监控系统,上述第一摄像机,用于监控指定区域是否存在违章车辆,并在存在上述违章车辆时,生成报警信息,与上述第一摄像机相连的控制单元,用于根据上述报警信息触发第二摄像机进行拍摄,与上述控制单元相连的第二摄像机,用于对上述违章车辆进行拍摄,以获得车辆视频及车辆图像,其中,上述车辆视频为包含有上述违章车辆的车牌的视频,上述车辆图像为包含有上述违章车辆的车牌的图像。通过本申请方案,可以在校车停靠后对马路进行监控,在出现通行的违章车辆时进行记录,执法人员可以此为依据开具罚单,以减少违章车辆,保障学生上车前及下车后的安全。可以理解的是,上述第二方面的有益效果可以参见上述第一方面中的相关描述,在此不再赘述。
附图说明
为了更清楚地说明本申请实施例中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本申请的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1是本申请实施例提供的违章监控系统的结构框图;
图2是本申请实施例提供的违章监控系统中,第一摄像机及第二摄像机在校车上的安装示意图;
图3是本申请实施例提供的违章监控系统中,与校车平行的道路路段的示意图;
图4是本申请实施例提供的违章监控系统中,第一摄像机所拍摄到的画面的示意图;
图5是本申请实施例提供的违章监控方法的实现流程示意图。
本发明的实施方式
以下描述中,为了说明而不是为了限定,提出了诸如特定系统结构、技术之类的具体细节,以便透彻理解本申请实施例。然而,本领域的技术人员应当清楚,在没有这些具体细节的其它实施例中也可以实现本申请。在其它情况中,省略对众所周知的系统、装置、电路以及方法的详细说明,以免不必要的细节妨碍本申请的描述。
应当理解,当在本申请说明书和所附权利要求书中使用时,术语“包括”指示所描述特征、整体、步骤、操作、元素和/或组件的存在,但并不排除一个或多个其它特征、整体、步骤、操作、元素、组件和/或其集合的存在或添加。
还应当理解,在本申请说明书和所附权利要求书中使用的术语“和/或”是指相关联列出的项中的一个或多个的任何组合以及所有可能组合,并且包括这些组合。
如在本申请说明书和所附权利要求书中所使用的那样,术语“如果”可以依据上下文被解释为“当...时”或“一旦”或“响应于确定”或“响应于检测到”。类似地,短语“如果确定”或“如果检测到[所描述条件或事件]”可以依据上下文被解释为意指“一旦确定”或“响应于确定”或“一旦检测到[所描述条件或事件]”或“响应于检测到[所描述条件或事件]”。
另外,在本申请说明书和所附权利要求书的描述中,术语“第一”、“第二”、“第三”等仅用于区分描述,而不能理解为指示或暗示相对重要性。
在本申请说明书中描述的参考“一个实施例”或“一些实施例”等意味着在本申请的一个或多个实施例中包括结合该实施例描述的特定特征、结构或特点。由此,在本说明书中的不同之处出现的语句“在一个实施例中”、“在一些实施例中”、“在其他一些实施例中”、“在另外一些实施例中”等不是必然都参考相同的实施例,而是意味着“一个或多个但不是所有的实施例”,除非是以其他方式另外特别强调。术语“包括”、“包含”、“具有”及它们的变形都意味着“包括但不限于”,除非是以其他方式另外特别强调。
为了说明本申请上述的技术方案,下面通过具体实施例来进行说明。
实施例1
本申请实施例提出了一种违章监控系统,该违章监控系统应用于车辆,例如校车。具体地,下面以该违章监控系统应用于校车为例,对该违章监控系统的构成进行解释及说明,需要注意的是,上述违章监控需求也可以应用于其它有违章监控需求的车辆,此处不作限定。请参阅图1,图1示出了上述违章监控系统1的架构图:
违章监控系统1具体由第一摄像机11、控制单元12及第二摄像机13所构成。其中,上述第一摄像机11及上述第二摄像机13均与上述控制单元12连接,且上述第一摄像机11、上述控制单元12以及上述第二摄像机13均安装于校车上。可选地,上述连接可以是无线连接;当然,出于信息传递速度的考虑,上述连接也可以是有线连接,此处不对上述第一摄像机11与上述控制单元12的连接方式,以及上述第二摄像机13与上述控制单元12的连接方式作出限定。
具体地,上述第一摄像机11,用于监控指定区域是否存在违章车辆,并在存在上述违章车辆时,生成报警信息;
上述控制单元12,用于根据上述报警信息触发第二摄像机13进行拍摄;
上述第二摄像机13,用于对上述违章车辆进行拍摄,以获得车辆视频及车辆图像,其中,上述车辆视频为包含有上述违章车辆的车牌的视频,上述车辆图像为包含有上述违章车辆的车牌的图像。
在本申请实施例中,上述第一摄像机11具体为智能摄像机,该智能摄像机为包含智能算法的摄像机,也即,该第一摄像机11既可以采集视频,又可基于采集到的视频运用图像智能处理分析技术识别并追踪进入到指定区域的目标车辆的运行轨迹,以判断该目标车辆是否为违章车辆。具体地,上述第一摄像机11在启动后,就开始对采集到的实时图像持续进行分析,以避免出现违章车辆的漏检情况。
可选地,如图2所示,该第一摄像机11可安装于校车中段的车辆外部,并与车辆顶部持平或略低于车辆顶部,以此能够获得更好的监控视野;当然,也可以安装在其它位置,只要该第一摄像机11能够实现对指定区域的监控即可,此处不作限定;其中,上述指定区域至少覆盖了与校车平行的道路路段,请参阅图3,图3给出了与校车平行的道路路段的示意图。通过上述第一摄像机11,可以在校车路边停靠时,对道路进行监控,以及时识别是否存在校车停靠的路段上通行的违规车辆。
上述第一摄像机11在监控的过程中,一旦监控到上述指定区域存在违规车辆,则可立刻基于该违规车辆生成报警信息。上述报警信息可以被上报至上述控制单元12处。
上述控制单元12在接收到上述第一摄像机11所发送的报警信息时,即可获知当前校车所停靠的路段上出现有违章车辆,此时,为了实现对该违章车辆的信息记录,该控制单元12可以基于该报警信息生成第二摄像机13的拍摄指令,并向上述第二摄像机13发送该拍摄指令,以触发上述第二摄像机13进行拍摄。
上述第二摄像机13在接收到上述控制单元12所发送的拍摄指令后,对上述违章车辆进行拍摄,具体为进行拍照操作及摄像操作,以通过拍照操作获得车辆图像,并通过摄像操作获得车辆视频,其中,上述车辆视频为包含有上述违章车辆的车牌的视频,上述车辆图像为包含有上述违章车辆的车牌的图像。考虑到上述第一摄像机11、控制单元12及第二摄像机13均安装在校车上,并以毫秒级进行信息传递,因而上述第二摄像机13可以在第一摄像机11监控到出现违章车辆后的极短时间内就对违章车辆进行拍摄,可避免出现因第一摄像机11及第二摄像机13之间的通讯延时及时间不同步而导致的车辆图像及车辆视频不包含违章车辆的车牌的情况。具体地,上述第二摄像机13为高清摄像机,其所获得的的图像分辨率很高(例如,可以为5MP)。通过该第二摄像机13的拍摄,可进行车牌识别,帮助监管人员看清违章车辆的车牌号,实现对违章车辆的信息记录。
可选地,由于上述第一摄像机11具备有视频采集功能,因而,该第一摄像机11还可用于在监控中实时进行录像。一旦监控发现存在有违章车辆,则可通过图像智能处理分析技术在采集到的的图像中确定拍摄到上述违章车辆的开始帧以及结束帧,并基于上述开始帧及结束帧截取获得上述违章车辆在上述指定区域中的行车视频;也即,上述行车视频可记录下上述违章视频从进入上述指定区域开始,到离开上述指定区域为止的行车路线,可用于指示上述违章车辆在上述指定区域的违章行为。可见,本申请实施例中,第一摄像机11及第二摄像机13均可对违章车辆进行录像,只是第一摄像机11偏向于对整体进行录像,也即对违章车辆的违章过程进行录像;而第二摄像机13偏向于对细节进行录像,也即对违章车辆本身的信息,例如违章车辆的车牌号进行录像。
可选地,为了实现对违章车辆的信息汇总,上述第一摄像机11可以将其获取到的违章车辆的行车视频发送至控制单元12;上述第二摄像机13也可以将其获取到的包含有违章车辆的车牌的车辆图像及车辆视频发送至控制单元12;则上述控制单元12还可用于将上述报警信息的生成时间、上述车辆视频、上述车辆图像及上述行车视频封装为上述违章车辆的违章信息;其中,考虑到第一摄像机11的图像分析处理能力较强,可以在极短时间内确定上述指定区域是否存在违章车辆,因而,可以认为上述报警信息的生成时间即为上述违章车辆的违章时间。
可选地,为了避免出现对违章车辆的误判断,上述违章监控系统1还包括与上述控制单元12相连的云平台14;则上述控制单元12,还用于将上述违章车辆的违章信息上传至上述云平台。后台监管人员(例如交警)可以在上述云平台中查看上述控制单元12所发送来的违章车辆的违章信息,并人工进行复核,以确定该违章车辆次是否确实发生违章。根据人工复核的结果,若该违章车辆确实违章,则由后台监管人员向违章车辆开具罚单。通过开具罚单的手段,逐步减少违章车辆,保障学生上车前以及下车后的安全。
可选地,上述控制单元12在校车点火启动后就开始进行工作,并实时对校车是否处于预设的停靠状态进行检测;当检测到校车处于上述停靠状态时,可触发上述第一摄像机11及上述第二摄像机13启动,并在校车不处于上述停靠状态时,触发上述第一摄像机11及上述第二摄像机13关机,以节约资源。需要注意的是,上述第一摄像机11在启动后立刻开始对指定区域进行实时监控;而上述第二摄像机13在启动后并不需要立刻进入对违章车辆的拍摄状态,实际上,由于不能确定指定区域中什么时候会出现违章车辆,因而,上述第二摄像机13是在第一摄像机11生成报警信息后(也即确定指定区域存在违章车辆后)的一段时间内才进行拍摄。
具体地,上述控制单元12对校车是否处于预设的停靠状态进行检测的过程如下:获取校车的全球定位系统(Global Positioning System,GPS)速度、脉冲速度和/或控制器局域网络(Controller Area Network,CAN)信号,并根据上述车辆的GPS速度、脉冲速度和/或CAN信号判断上述车辆是否处于驻车状态,也即,根据上述车辆的GPS速度、脉冲速度和/或CAN信号判断校车是否已经停车。若确定上述车辆处于驻车状态,则可进一步根据校车的停车信号牌的接入线端的电平状态判断上述车辆是否处于预设的停靠状态,该停靠状态用于表示当前校车正在等待学生上下车。通常来说,校车上均设置有停车信号牌,校车停靠并等到学生上下车时,校车的驾驶员会将该停车信号牌开启,而一旦停车信号牌开启,该停车信号牌的接入线端就会表现为高电平;因而,当上述校车处于驻车状态且校车的停车信号牌的接入线端的电平状态为高电平时,即可确定校车当前正处于预设的停靠状态,此时,上述第一摄像机11及上述第二摄像机13应触发或保持在启动状态下。反之,只要已根据上述车辆的GPS速度、脉冲速度或CAN信号判断校车已不处于驻车状态,或者只要停车信号牌的接入线端为低电平,即可确定校车当前已不处于预设的停靠状态,此时,上述第一摄像机11及上述第二摄像机13应触发或保持在关机状态下。
可选地,上述第一摄像机11所拍摄的实时画面通常有畸变,导致实时画面的远处呈现的图像较小,基于此,第一摄像机11可以从拍摄的实时画面中,也即上述指定区域中划分得到远景区域。如图4所示,图4给出了一指定区域的示例(其边界为图4中由黑色及白色线段构成的最大的矩形框)及远景区域的示例(其边界为图4中的黑色线段构成的中等大小的矩形框)。为了实现对进入指定区域的车辆的准确监控,可以对上述远景区域作放大处理,得到放大图像,并由第一摄像机11基于上述放大图像对上述远景区域进行监控。也即,针对第一摄像机11来说,除了对其直接拍摄所获得的整个指定区域的图像进行分析之外,还会对对上述放大图像(也即对远景区域进行放大处理后的图像)进行分析,实现精准监控。
可选地,上述第一摄像机11还可从上述指定区域中划分得到违章区域,通过该违章区域对进入指定区域的车辆是否违章进行判定。具体地,可以在检测到目标车辆(也即进入上述指定区域的车辆)时,对上述目标车辆进行识别,得到上述目标车辆的追踪框,基于上述目标车辆的追踪框与上述违章区域的边界的交互确定上述目标车辆是否为违章车辆;如图4所示,图4还给出了一违章区域的示例(其边界为图4中的黑色线段构成的梯形框)及一目标车辆的追踪框(图4中的白色线段构成的最小的矩形框)的示例。具体地,上述基于上述目标车辆的追踪框与上述违章区域的边界的交互确定上述目标车辆是否为违章车辆可基于用户的需求进行设定:在一种应用场景下,当检测到目标车辆的追踪框与上述与上述违章区域的边界发生交叉时,也即,当目标车辆进入到上述违章区域内时,就认为目标车辆发生违章,此时,该目标车辆被确定为违章车辆;在另一种应用场景下,当检测到目标车辆的追踪框与上述与上述违章区域的不同边界(例如违章区域的左边界及右边界)均发生交叉时,也即,当目标车辆进入上述违章区域,又从上述违章区域离开时,就认为目标车辆发生违章,此时,该目标车辆被确定为违章车辆;当然,也可以通过其它方式确定上述目标车辆是否为违章车辆,此处不作限定。
可选地,考虑到车牌的悬挂位置,如图2所示,上述第二摄像机13可安装于校车中段的车辆外部,并略低于校车的车窗下边缘,以更好的拍摄违章车辆的车牌。进一步地,上述第二摄像机13可由多个高清摄像机构成,例如,上述第二摄像机13可包括第二前向摄像机及第二后向摄像机,则上述控制单元12,具体用于根据上述报警信息及上述车辆的所处地域,在上述第二前向摄像机及第二后向摄像机中确定目标第二摄像机13,并触发上述目标第二摄像机13进行拍摄。例如,当上述车辆的所处地域为美国时,考虑到美国大部分车辆只在车尾部悬挂有车牌,因而,只有在违章车辆离开违章区域时,才能够拍摄到该违章车辆的车牌;也即,根据违章车辆的行驶方向,将第二前向摄像机及第二后向摄像机中,朝向上述违章车辆的去向的第二摄像机13确定为目标第二摄像机13,并触发上述目标第二摄像机13进行拍摄;又例如,当上述车辆的所处地域为中国时,考虑到中国的车辆在车尾部及车头部均悬挂有车牌,因而,在违章车辆进入违章区域及离开违章区域时,均可拍摄到该违章车辆的车牌;也即,上述第二前向摄像机及第二后向摄像机均可被确定为第二前向摄像机及第二后向摄像机,并触发这两个目标第二摄像机13进行拍摄,或者,随机将上述第二前向摄像机及第二后向摄像机中的任一个第二摄像机13确定为目标第二摄像机13,此处不作限定。
可选地,上述控制单元可以由一录像机构成,也即,上述控制单元也可具备录像功能,并在控制单元的工作过程中持续不断的对车辆所处环境进行录像。
由上可见,通过本申请实施例,可以在校车停靠在路边等待学生上下车时,通过图像识别技术,实时监控道路上是否有车辆通过,并将监控结果反馈给控制单元;在出现有违章车辆时,控制单元通过智能摄像机获取违章车辆的行车视频,通过高清摄像机获取包含有违章车辆的车牌的车辆视频及车辆图像,整合为违章车辆的违章信息并上传至云平台供后台监管人员复核;后台监管人员复核确认后,开具罚单,对违章车辆进行罚款。通过上述手段,可以一定程度上减少违章车辆,保障学生上车前及下车后的安全。
实施例2
下面对本申请实施例提供的一种违章监控方法进行描述,上述违章监控方法应用于上文提出的违章监控系统中,请参阅图5,本申请实施例中的违章监控方法包括:
步骤501,监控指定区域是否存在违章车辆;
步骤502,当存在上述违章车辆时,生成报警信息;
步骤503,根据上述报警信息对上述违章车辆进行拍摄,以获得车辆视频及车辆图像,其中,上述车辆视频为包含有上述违章车辆的车牌的视频,上述车辆图像为包含有上述违章车辆的车牌的图像。
可选地,上述违章监控方法还包括:
在监控时进行录像;
当监控到存在上述违章车辆时,获得上述违章车辆在上述指定区域中的行车视频,其中,上述行车视频用于指示上述违章车辆在上述指定区域的违章行为。
可选地,上述违章监控方法包括:
将上述报警信息的生成时间、上述车辆视频、上述车辆图像及上述行车视频封装为上述违章车辆的违章信息。
可选地,上述违章监控方法包括:
将上述违章车辆的违章信息上传至上述云平台。
可选地,上述违章监控方法包括:
检测车辆是否处于预设的停靠状态;
在上述车辆处于上述停靠状态时,触发第一摄像机及上述第二摄像机启动,其中,上述第一摄像机用于监控指定区域是否存在违章车辆,上述第二摄像机用于根据上述报警信息对上述违章车辆进行拍摄;
在上述车辆不处于上述停靠状态时,触发上述第一摄像机及上述第二摄像机关机。
可选地,上述检测车辆是否处于预设的停靠状态的步骤,包括:
根据上述车辆的GPS速度、脉冲速度和/或CAN信号判断上述车辆是否处于驻车状态;
在上述车辆处于驻车状态时,根据上述车辆的停车信号牌的接入线端的电平状态判断上述车辆是否处于预设的停靠状态。
可选地,上述监控指定区域是否存在违章车辆的步骤,包括:
从上述指定区域中划分得到远景区域;
对上述远景区域作放大处理得到放大图像;
基于上述放大图像对上述远景区域进行监控。
可选地,上述监控指定区域是否存在违章车辆的步骤,包括:
从上述指定区域中划分得到违章区域;
在存在进入上述指定区域的目标车辆时,对上述目标车辆进行识别,得到上述目标车辆的追踪框;
基于上述目标车辆的追踪框与上述违章区域的边界的交互确定上述目标车辆是否为违章车辆。
可选地,上述第二摄像机包括第二前向摄像机及第二后向摄像机;则上述违章监控方法还包括:根据上述报警信息及上述车辆的所处地域,在上述第二前向摄像机及第二后向摄像机中确定目标第二摄像机,并触发上述目标第二摄像机进行拍摄。
由上可见,基于本申请实施例所提出的违章监控方法,可以在校车停靠在路边等待学生上下车时,通过图像识别技术,实时监控道路上是否有车辆通过,并将监控结果反馈给控制单元;在出现有违章车辆时,控制单元通过智能摄像机获取违章车辆的行车视频,通过高清摄像机获取包含有违章车辆的车牌的车辆视频及车辆图像,整合为违章车辆的违章信息并上传至云平台供后台监管人员复核;后台监管人员复核确认后,开具罚单,对违章车辆进行罚款。通过上述手段,可以一定程度上减少违章车辆,保障学生上车前及下车后的安全。
所属领域的技术人员可以清楚地了解到,为了描述的方便和简洁,仅以上述各功能模组的划分进行举例说明,实际应用中,可以根据需要而将上述功能分配由不同的功能模组完成,即将上述系统的内部结构划分成不同的功能模组,以完成以上描述的全部或者部分功能。实施例中的各功能模组可以集成在一个模组中,也可以是各个模组单独物理存在,也可以两个或两个以上模组集成在一个模组中,上述集成的模组既可以采用硬件的形式实现,也可以采用软件功能模组的形式实现。另外,各功能模组的具体名称也只是为了便于相互区分,并不用于限制本申请的保护范围。上述方法的具体实现过程,可以参考前述系统实施例中各个功能模组的对应工作过程,在此不再赘述。
在上述实施例中,对各个实施例的描述都各有侧重,某个实施例中没有详述或记载的部分,可以参见其它实施例的相关描述。
本领域普通技术人员可以意识到,结合本文中所公开的实施例描述的各示例的模组及方法步骤,能够以电子硬件、或者外部设备软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行,取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能,但是这种实现不应认为超出本申请的范围。
在本申请所提供的实施例中,应该理解到,所揭露的装置和方法,可以通过其它的方式实现。例如,以上所描述的系统实施例仅仅是示意性的,例如,上述模组的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个模组可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通讯连接可以是通过一些接口,模组的间接耦合或通讯连接,可以是电性,机械或其它的形式。
上述作为分离部件说明的模组可以是或者也可以不是物理上分开的,作为模组显示的部件可以是或者也可以不是物理模组,即可以位于一个地方,或者也可以分布到多个网络模组上。可以根据实际的需要选择其中的部分或者全部模组来实现本实施例方案的目的。
上述集成的模组如果以软件功能模组的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读存储介质中。基于这样的理解,本申请实现上述实施例方法中的全部或部分流程,也可以通过计算机程序来指令相关的硬件来完成,上述的计算机程序可存储于一计算机可读存储介质中,该计算机程序在被处理器执行时,可实现上述各个方法实施例的步骤。其中,上述计算机程序包括计算机程序代码,上述计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。上述计算机可读存储介质可以包括:能够携带上述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机可读存储器、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、电载波信号、电信信号以及软件分发介质等。需要说明的是,上述计算机可读存储介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减,例如在某些司法管辖区,根据立法和专利实践,计算机可读存储介质不包括是电载波信号和电信信号。
以上上述实施例仅用以说明本申请的技术方案,而非对其限制;尽管参照前述实施例对本申请进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围,均应包含在本申请的保护范围之内。

Claims (10)

  1. 一种违章监控系统,其特征在于,包括:
    第一摄像机,用于监控指定区域是否存在违章车辆,并在存在所述违章车辆时,生成报警信息;
    与所述第一摄像机相连的控制单元,用于根据所述报警信息触发第二摄像机进行拍摄;
    与所述控制单元相连的第二摄像机,用于对所述违章车辆进行拍摄,以获得车辆视频及车辆图像,其中,所述车辆视频为包含有所述违章车辆的车牌的视频,所述车辆图像为包含有所述违章车辆的车牌的图像。
  2. 如权利要求1所述的违章监控系统,其特征在于,所述第一摄像机,还用于在监控时进行录像,以在存在所述违章车辆时,获得所述违章车辆在所述指定区域中的行车视频,其中,所述行车视频用于指示所述违章车辆在所述指定区域的违章行为。
  3. 如权利要求2所述的违章监控系统,其特征在于,所述控制单元,还用于将所述报警信息的生成时间、所述车辆视频、所述车辆图像及所述行车视频封装为所述违章车辆的违章信息。
  4. 如权利要求3所述的违章监控系统,其特征在于,所述违章监控系统还包括与所述控制单元相连的云平台;
    所述控制单元,还用于将所述违章车辆的违章信息上传至所述云平台。
  5. 如权利要求1至4任一项所述的违章监控系统,其特征在于,所述控制单元,还用于检测车辆是否处于预设的停靠状态,并在所述车辆处于所述停靠状态时,触发所述第一摄像机及所述第二摄像机启动,在所述车辆不处于所述停靠状态时,触发所述第一摄像机及所述第二摄像机关机。
  6. 如权利要求5所述的违章监控系统,其特征在于,所述控制单元,具体用于根据所述车辆的GPS速度、脉冲速度和/或CAN信号判断所述车辆是否处于驻车状态,并在所述车辆处于驻车状态时,根据所述车辆的停车信号牌的接入线端的电平状态判断所述车辆是否处于预设的停靠状态。
  7. 如权利要求1至4任一项所述的违章监控系统,其特征在于,所述第一摄像机,具体用于从所述指定区域中划分得到远景区域,并对所述远景区域作放大处理得到放大图像,基于所述放大图像对所述远景区域进行监控。
  8. 如权利要求1至4任一项所述的违章监控系统,其特征在于,所述第一摄像机,具体用于从所述指定区域中划分得到违章区域,在存在进入所述指定区域的目标车辆时,对所述目标车辆进行识别,得到所述目标车辆的追踪框,基于所述目标车辆的追踪框与所述违章区域的边界的交互确定所述目标车辆是否为违章车辆。
  9. 如权利要求1至4任一项所述的违章监控系统,其特征在于,所述第二摄像机包括第二前向摄像机及第二后向摄像机;所述控制单元,具体用于根据所述报警信息及所述车辆的所处地域,在所述第二前向摄像机及第二后向摄像机中确定目标第二摄像机,并触发所述目标第二摄像机进行拍摄。
  10. 一种违章监控方法,其特征在于,包括:
    监控指定区域是否存在违章车辆,并在存在所述违章车辆时,生成报警信息;
    根据所述报警信息对所述违章车辆进行拍摄,以获得车辆视频及车辆图像,其中,所述车辆视频为包含有所述违章车辆的车牌的视频,所述车辆图像为包含有所述违章车辆的车牌的图像。
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