CN115240434A - Vehicle tracking system based on big data - Google Patents
Vehicle tracking system based on big data Download PDFInfo
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- CN115240434A CN115240434A CN202210682541.1A CN202210682541A CN115240434A CN 115240434 A CN115240434 A CN 115240434A CN 202210682541 A CN202210682541 A CN 202210682541A CN 115240434 A CN115240434 A CN 115240434A
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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Abstract
The invention provides a vehicle tracking system based on big data, which comprises a main control module connected with a terminal server, and an acquisition module and a storage module which are bidirectionally connected with the main control module, wherein the acquisition module comprises a plurality of road cameras arranged on a road, and the road cameras are used for acquiring and tracking video image data of a vehicle running on the road; the main control module is used for receiving data, processing the data and uploading the data to the terminal server; the storage module is used for storing road vehicle video image data, and the vehicle video image data comprises video image data of normal driving, illegal vehicle violation video image data and travel video image data of the illegal vehicle leaving the violation site; the invention can conveniently acquire the road video image of the violation vehicle and realize the automatic tracking of the violation vehicle.
Description
Technical Field
The invention relates to the technical field of road video acquisition, in particular to a vehicle tracking system based on big data.
Background
With the development of cities, urban traffic is developed more and more, road vehicle driving information is recorded by a road camera, a large data platform of road information is constructed, and sufficient conditions are provided for urban road management.
At present, a road information system has a certain hysteresis for vehicle driving management, for example, when a traffic accident occurs, a hit-and-run phenomenon exists, and after a vehicle escapes, a dry police needs to manually watch a driving video of the road vehicle shot by a road camera to find a hit-and-run vehicle; for example, when a violation phenomenon occurs in a vehicle with dangerous driving behaviors, the violation phenomenon is in a two-to-three state, which inevitably threatens pedestrians and vehicles on a road, although a mature technology in the prior art can realize vehicle information identification such as identification of license plate numbers, vehicle colors, vehicle types and vehicle images, the accurate identification of the vehicle information is influenced by light, field environment and the like, so that a plurality of illegal vehicles are not discovered and controlled in time, and the illegal vehicles are lack of tracking by a road information system.
Disclosure of Invention
Aiming at the technical problems, the invention provides a vehicle tracking system based on big data, which can conveniently and rapidly acquire road video images of violation vehicles and realize automatic tracking of the violation vehicles.
In order to achieve the purpose, the invention provides the following technical scheme: a vehicle tracking system based on big data comprises a main control module connected with a terminal server, and an acquisition module and a storage module which are connected with the main control module in a bidirectional way, wherein the acquisition module comprises a plurality of road cameras arranged on a road, and the road cameras are used for acquiring video image data of a vehicle running on the road;
the main control module is used for receiving data, processing the data and uploading the data to the terminal server;
the storage module is used for storing road vehicle video image data, and the vehicle video image data comprise video image data of normal driving, illegal vehicle violation video image data and travel video image data of the illegal vehicle leaving the illegal site.
Preferably, the main control module is also connected with a communication module in a bidirectional mode, the communication module adopts a wireless communication mode and a wired communication mode, and the road camera is connected with the main control module through the wired communication mode.
Preferably, the step of tracking video image data acquisition of the illegal vehicle is as follows:
the method comprises the following steps: entering and acquiring illegal vehicle information through a road camera or a traffic police manual input mode of an illegal site;
step two: acquiring road vehicle running video image data acquired by road cameras around an illegal site through the road cameras;
step three: sending the data to a main control module to directly identify the illegal vehicle in the acquired road vehicle driving video image data, wherein the identification of the illegal vehicle is identified through license plate numbers, vehicle types and vehicle colors;
step four: acquiring video image data of the identified illegal vehicle leaving the illegal site along the way, and storing the video image data separately;
step five: and recording the parking position of the illegal vehicle after the illegal vehicle leaves the illegal site.
Preferably, when the illegal vehicle cannot be directly identified in the third step, the steps of identifying and tracking the illegal vehicle are as follows:
step 1: re-acquiring the video image data of the vehicle running on the road in the violation site;
step 2: firstly, positioning a plurality of similar violation vehicles in the road driving video image data in the step 1, and acquiring a driving route of the plurality of violation vehicles within violation time, wherein the similar violation vehicles roughly compare the vehicles through vehicle surfaces and colors;
and step 3: and comparing the driving routes of a plurality of similar violation vehicles in violation time with the violation positions, and positioning the violation vehicles.
Preferably, the steps of acquiring the video image data of the illegal vehicle along the road are as follows:
the first step is as follows: acquiring the position of the violation vehicle through a road camera, and positioning the violation vehicle;
the second step is that: the monitoring direction and the monitoring range of the road camera are changed, so that the road camera can be adjusted to clearly collect images of illegal vehicles;
the third step: when a plurality of vehicles in violation pass through the same intersection or road, the monitoring direction and range of the road camera are adjusted to be positioned at the center position of the intersection or road, and the road driving video image data of the plurality of vehicles in violation are acquired.
The invention has the beneficial effects that: the road camera is convenient for collecting the driving video image data of the vehicles driving on the road, when the driving video image data of the illegal vehicles leaving the illegal site is required to be collected, on one hand, the vehicles are identified by the existing image vehicle direct identification method, and the driving video image data of the illegal vehicles can also be collected and identified through the application, so that the road video image collection of the illegal vehicles can be conveniently carried out, and the automatic tracking of the illegal vehicles is realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention without limiting the invention in which:
fig. 1 is a schematic diagram of a simple structure of a big data-based vehicle tracking system according to the present invention.
Fig. 2 is a schematic structural diagram of a flow chart for acquiring the video image data of the illegal vehicle running.
Detailed Description
In order to make the technical means, the original characteristics, the achieved purposes and the effects of the invention easily understood, the invention is further described below with reference to the specific embodiments and the attached drawings, but the following embodiments are only the preferred embodiments of the invention, and not all embodiments are provided. Based on the embodiments in the implementation, other embodiments obtained by those skilled in the art without any creative efforts belong to the protection scope of the present invention.
Referring to fig. 1-2, a vehicle tracking system based on big data includes a main control module connected to a terminal server, and an acquisition module and a storage module which are connected to the main control module in a bidirectional manner, wherein the acquisition module includes a plurality of road cameras disposed on a road, and the road cameras are used for acquiring and tracking video image data of vehicles running on the road;
the main control module is used for receiving data, processing the data and uploading the data to the terminal server;
the storage module is used for storing road vehicle video image data, and the vehicle video image data comprise video image data of normal driving, illegal vehicle violation video image data and travel video image data of the illegal vehicle leaving the illegal site.
As shown in fig. 1-2, the existing road vehicle recognition technology is mature, for example, the existing most of the gates of urban districts can have cameras for recognizing faces or vehicle license plates, and the existing road cameras can also accurately recognize the colors, models, license plates and other information of vehicles running on the road, wherein the vehicles running on the road can be collected and recognized by the monitoring cameras less conveniently when external conditions occur, wherein the video image data of the illegal vehicles are collected and compared with the illegal vehicles, and the positions of the illegal vehicles can be automatically positioned by the image data of the illegal vehicles running on the road; road video image collection can be conveniently carried out on the violation vehicles, and automatic tracking of the violation vehicles is achieved.
The main control module is also connected with a communication module in a bidirectional mode, the communication module adopts a wireless communication mode and a wired communication mode, and the road camera is connected with the main control module in the wired communication mode.
The road camera is connected with the main control module through a line, so that driving video image data can be collected quickly, and the phenomenon that the driving video image data cannot be stored in the main control module due to the fact that the road camera is damaged is avoided.
The steps of tracking video image data acquisition of the illegal vehicle are as follows:
the method comprises the following steps: entering and acquiring illegal vehicle information through a road camera or a traffic police manual input mode of an illegal site;
step two: acquiring road vehicle running video image data acquired by road cameras around an illegal site through the road cameras;
step three: the data are sent to a main control module to directly identify the illegal vehicle in the acquired road vehicle driving video image data, and the identification of the illegal vehicle is identified through license plate numbers, vehicle types and vehicle colors;
step four: acquiring video image data of the identified illegal vehicle leaving the illegal site along the way, and storing the video image data separately;
step five: and recording the parking position of the illegal vehicle after the illegal vehicle leaves the illegal site.
When a traffic police is arranged on the violation site in the first step, the vehicle information of the violation vehicle can be directly input into the main control module through the traffic police, so that the vehicle in the road video image data can be conveniently identified and tracked, the video image is prevented from being slowly searched through the traffic police or manpower, and the efficiency and the accuracy of positioning the violation vehicle are improved.
When the illegal vehicle cannot be directly identified in the third step, the steps of identifying and tracking the illegal vehicle are as follows:
step 1: re-acquiring the video image data of the vehicle running on the illegal site road;
and 2, step: firstly, positioning a plurality of similar violation vehicles in the road running video image data in the step 1, acquiring running routes of the plurality of violation vehicles within violation time, and roughly comparing the similar violation vehicles with the vehicles through vehicle appearances and colors;
and step 3: and comparing the driving routes of a plurality of similar illegal vehicles in the violation time with the violation positions, and positioning the illegal vehicles.
When the collected road vehicle driving video image data cannot collect the information of the illegal vehicle, images of a plurality of vehicles around the illegal site are collected simultaneously, the collected suspected illegal vehicle is roughly compared with the input data or the data collected on the illegal site, the driving distance of the vehicle with similar vehicle type and consistent vehicle color in the illegal time is obtained, the driving distance data is compared with the illegal position, the illegal vehicle is judged, the horizontal image data collected through a road camera is prevented from being directly identified, the identification efficiency is improved, and the impression of external factors is avoided.
The method comprises the following steps of acquiring video image data of an illegal vehicle along the road:
the first step is as follows: acquiring the position of the violation vehicle through a road camera, and positioning the violation vehicle;
the second step is that: the monitoring direction and the monitoring range of the road camera are changed, so that the road camera can be adjusted to clearly collect images of illegal vehicles;
the third step: when a plurality of vehicles in violation pass through the same intersection or road, the monitoring direction and the monitoring range of the road camera are adjusted to be positioned at the center position of the intersection or the road, and the road driving video image data of the vehicles in violation are acquired.
When an illegal vehicle is about to pass through the road or the intersection, the monitoring direction and the monitoring range of the road camera are changed, so that the model, the color and the license plate number of the illegal vehicle are convenient to verify, the illegal vehicle is prevented from being tracked wrongly, when a plurality of vehicles pass through the same intersection or the same road intentionally, the monitoring direction and the monitoring range of the road camera are adjusted to face the center position of the road or the intersection, and the advancing direction and the video image data along the road of the plurality of illegal vehicles are convenient to acquire.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. A vehicle tracking system based on big data comprises a main control module connected with a terminal server, and an acquisition module and a storage module which are connected with the main control module in a bidirectional way, and is characterized in that the acquisition module comprises a plurality of road cameras arranged on a road, and the road cameras are used for acquiring and tracking video image data of vehicles running on the road;
the main control module is used for receiving data, processing the data and uploading the data to the terminal server;
the storage module is used for storing road vehicle video image data, and the vehicle video image data comprise video image data of normal driving, illegal vehicle violation video image data and travel video image data of the illegal vehicle leaving the illegal site.
2. The big-data based vehicle tracking system of claim 1, wherein: the main control module is also connected with a communication module in a bidirectional mode, the communication module adopts a wireless communication mode and a wired communication mode, and the road camera is connected with the main control module through the wired communication mode.
3. The big-data based vehicle tracking system of claim 1, wherein: the steps of tracking video image data acquisition of the illegal vehicle are as follows:
the method comprises the following steps: entering and acquiring illegal vehicle information through a road camera or a traffic police manual input mode of an illegal site;
step two: acquiring road vehicle running video image data acquired by road cameras around an illegal site through the road cameras;
step three: sending the data to a main control module to directly identify the illegal vehicle in the acquired road vehicle driving video image data, wherein the identification of the illegal vehicle is identified through license plate numbers, vehicle types and vehicle colors;
step four: acquiring video image data of the identified illegal vehicle leaving the illegal site along the way, and storing the video image data separately;
step five: and recording the parking position of the illegal vehicle after the illegal vehicle leaves the illegal site.
4. A big-data based vehicle tracking system as claimed in claim 3, wherein: when the illegal vehicle cannot be directly identified in the third step, the steps of identifying and tracking the illegal vehicle are as follows:
step 1: re-acquiring the video image data of the vehicle running on the road in the violation site;
step 2: firstly, positioning a plurality of similar illegal vehicles in the road running video image data in the step 1, and acquiring running routes of the plurality of illegal vehicles within the violation time, wherein the similar illegal vehicles approximately compare the vehicles through the vehicle exterior and color;
and step 3: and comparing the driving routes of a plurality of similar illegal vehicles in the violation time with the violation positions, and positioning the illegal vehicles.
5. A big-data based vehicle tracking system as claimed in claim 1 or 4, wherein: the method for acquiring the video image data of the illegal vehicle along the road comprises the following steps:
the first step is as follows: acquiring the position of the violation vehicle through a road camera, and positioning the violation vehicle;
the second step is that: the monitoring direction and the monitoring range of the road camera are changed, so that the road camera can be adjusted to clearly collect images of illegal vehicles;
the third step: when a plurality of vehicles in violation pass through the same intersection or road, the monitoring direction and range of the road camera are adjusted to be positioned at the center position of the intersection or road, and the road driving video image data of the plurality of vehicles in violation are acquired.
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CN202210682541.1A CN115240434A (en) | 2022-06-16 | 2022-06-16 | Vehicle tracking system based on big data |
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Patent Citations (8)
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CN104219434A (en) * | 2013-05-30 | 2014-12-17 | 曹然 | Traffic violation camera with automatically-adjustable angle |
CN205194072U (en) * | 2015-05-07 | 2016-04-27 | 吴柯维 | Linkage snapshot system and integration camera are detected to violating regulations parking |
CN105979143A (en) * | 2015-12-29 | 2016-09-28 | 广东中星电子有限公司 | Method and device for regulating spherical camera shooting parameters |
CN106875698A (en) * | 2017-04-21 | 2017-06-20 | 安徽文康科技有限公司 | Intelligent checking device |
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Application publication date: 20221025 |