CN113674262A - Vehicle trajectory tracking method and system - Google Patents
Vehicle trajectory tracking method and system Download PDFInfo
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- CN113674262A CN113674262A CN202110993265.6A CN202110993265A CN113674262A CN 113674262 A CN113674262 A CN 113674262A CN 202110993265 A CN202110993265 A CN 202110993265A CN 113674262 A CN113674262 A CN 113674262A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30241—Trajectory
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Abstract
The invention provides a method and a system for tracking a vehicle track, wherein the method comprises the following steps: the method comprises the steps that a first image acquisition unit acquires a first image on a road surface, wherein the first image comprises a first vehicle; identifying the license plate number of the first vehicle in the first image through an automatic license plate identification system; the second image acquisition unit acquires a second image on the road surface; and determining the track of the first vehicle according to the second image and the license plate number of the first vehicle. By the vehicle track tracking method, the vehicles to be tracked can be manually specified in the road surface image and tracked under the condition that specific information of the vehicles is not known at first, and the requirements of practical application are met. In addition, in the application, the vehicle is tracked through the license plate number, and the tracking result is more accurate.
Description
Technical Field
The invention belongs to the field of intelligent transportation, and particularly relates to a vehicle trajectory tracking method and system.
Background
The automobile positioning tracker is also called as automobile positioning tracker, and is mainly a vehicle-mounted anti-theft GPS positioning product. The functions of the car positioning tracker generally include short message positioning, timing positioning, network query, remote monitoring, remote car locking and the like. The user directly uses the mobile phone to send the short message 'G password' to the number of the equipment card, the equipment can automatically judge whether the user is authorized, and automatically replies the current position information and state to the mobile phone of the user by using the text short message. By accessing the "eyes of the day" system, the current state of the vehicle and the playback of the track over a set period of time can be tracked in real time. Monitoring a power supply: the vehicle-mounted power supply is used as a main power supply, the backup lithium battery supplies power as an auxiliary power supply, when the main power supply is disconnected, a user can be reminded by a short message, and the backup power supply is automatically started. And (3) one-key alarming, namely, when an emergency alarm button is pressed for 3 seconds in an emergency situation, the equipment automatically sends a short message to an authorized preset number and dials a telephone number to obtain help. However, the current localization tracking method is performed under the condition that the specific information of the vehicle is known, and the requirement of practical application cannot be met under the condition that the specific information of the vehicle is not known.
Disclosure of Invention
In order to solve the problem that the vehicle positioning and tracking method cannot meet the requirements of practical application under the condition that the specific information of the vehicle is not known at present, the embodiment of the application provides a method and a system for tracking a vehicle track.
In a first aspect, an embodiment of the present application provides a method for tracking a vehicle trajectory, including:
the method comprises the steps that a first image acquisition unit acquires a first image on a road surface, wherein the first image comprises a first vehicle;
identifying the license plate number of the first vehicle in the first image through an automatic license plate identification system;
the second image acquisition unit acquires a second image on the road surface;
and determining the track of the first vehicle according to the second image and the license plate number of the first vehicle.
Wherein determining the trajectory of the first vehicle from the second image and the license plate number of the first vehicle comprises:
identifying whether the license plate number of the first vehicle exists in the second image or not through an automatic license plate identification system;
if yes, the path from the first image acquisition unit to the second image acquisition unit is the track of the first vehicle;
if not, identifying whether a license plate number of the first vehicle exists in a third image, wherein the third image is acquired by a third image acquisition unit, and if so, a path from the first image acquisition unit to the third image acquisition unit is a track of the first vehicle;
the first image acquisition unit, the second image acquisition unit and the third image acquisition unit are adjacent image acquisition units, and after a vehicle passes through the first image acquisition unit, the vehicle has two driving paths, namely a driving path passing through the second image acquisition unit and a driving path passing through the third image acquisition unit.
Wherein, still include:
when the image is unclear, the automatic license plate recognition system can only recognize a part of numbers and/or letters of the license plate;
analyzing the graphs and characters on the vehicle in the image, and identifying the model and brand of the vehicle;
searching in a database according to the model and the brand of the vehicle and part of the identified license plate number to determine the license plate number of the vehicle; the database includes the license plate number of the vehicle and corresponding model and brand information.
The first image acquisition unit, the second image acquisition unit and the third image acquisition unit are all cameras.
Wherein, the database is an SQL Server database.
In a second aspect, the present application provides a system for vehicle trajectory tracking, comprising:
the system comprises a first image acquisition unit, a second image acquisition unit and a control unit, wherein the first image acquisition unit is used for acquiring a first image on a road surface, and the first image comprises a first vehicle;
the license plate automatic identification system is used for identifying the license plate number of the first vehicle in the first image;
the second image acquisition unit is used for acquiring a second image on the road surface;
and the first determining unit is used for determining the track of the first vehicle according to the second image and the license plate number of the first vehicle.
Wherein, still include the second and confirm the unit, is used for:
when the image is unclear, the automatic license plate recognition system can only recognize a part of numbers and/or letters of the license plate;
analyzing the graphs and characters on the vehicle in the image, and identifying the model and brand of the vehicle;
searching in a database according to the model and the brand of the vehicle and part of the identified license plate number to determine the license plate number of the vehicle; the database includes the license plate number of the vehicle and corresponding model and brand information.
The first image acquisition unit, the second image acquisition unit and the third image acquisition unit are all cameras.
In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and the computer program is used for implementing the steps of any one of the above methods when executed by a processor.
In a fourth aspect, the present application provides an electronic system, including the system described in any one of the above.
The method and the system for tracking the vehicle track have the following beneficial effects:
the method for tracking the vehicle track comprises the following steps: the method comprises the steps that a first image acquisition unit acquires a first image on a road surface, wherein the first image comprises a first vehicle; identifying the license plate number of the first vehicle in the first image through an automatic license plate identification system; the second image acquisition unit acquires a second image on the road surface; and determining the track of the first vehicle according to the second image and the license plate number of the first vehicle. By the vehicle track tracking method, the vehicles to be tracked can be manually specified in the road surface image and tracked under the condition that specific information of the vehicles is not known at first, and the requirements of practical application are met. In addition, in the application, the vehicle is tracked through the license plate number, and the tracking result is more accurate.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for tracking a vehicle trajectory according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a vehicle trajectory tracking system according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a first determining unit according to an embodiment of the present application.
Detailed Description
The present application is further described with reference to the following figures and examples.
In the following description, the terms "first" and "second" are used for descriptive purposes only and are not intended to indicate or imply relative importance. The following description provides embodiments of the invention, which may be combined or substituted for various embodiments, and this application is therefore intended to cover all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes feature A, B, C and another embodiment includes feature B, D, then this application should also be considered to include an embodiment that includes one or more of all other possible combinations of A, B, C, D, even though this embodiment may not be explicitly recited in text below.
The following description provides examples, and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the described methods may be performed in an order different than the order described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
As shown in fig. 1, the method for tracking a vehicle trajectory of the present application includes: s101, a first image acquisition unit acquires a first image on a road surface, wherein the first image comprises a first vehicle; s103, identifying the license plate number of the first vehicle in the first image through an automatic license plate identification system; s105, a second image acquisition unit acquires a second image on the road surface; and S107, determining the track of the first vehicle according to the second image and the license plate number of the first vehicle. Each step is described separately below.
S101, a first image acquisition unit acquires a first image on a road surface, wherein the first image comprises a first vehicle.
The first image capturing unit is, for example, a camera, and more specifically, a CCD (Charge Coupled Device) camera, an image of a subject is focused onto a CCD chip through a lens, the CCD accumulates charges in a corresponding proportion according to the intensity of light, the charges accumulated in each pixel are shifted out point by point under the control of a video timing sequence, and a video signal is formed after filtering and amplifying processing. The video signal is connected to the video input of a monitor or television set so that the same video image as the original image can be seen. It is a semiconductor imaging device, in order to simplify the power supply of CCD camera, only one kind of power supply (12V) is generally input from the outside, and the power supplies of other various voltage values in the camera are obtained by power supply conversion.
The first image includes a first vehicle, the first vehicle is a target vehicle, and which vehicle in the first image is the target vehicle can be determined according to actual needs.
S103, identifying the license plate number of the first vehicle in the first image through an automatic license plate identification system.
The license plate recognition system is a technology capable of monitoring vehicles on the road surface and automatically extracting and processing vehicle license plate information, and when the vehicles enter a snapshot area of the license plate recognition system, the license plate recognition all-in-one machine is triggered to snapshot images of the vehicles and automatically recognize license plate numbers. The license plate recognition system can monitor and snapshot passing vehicles and recognize license plate numbers according to video streams or pictures.
The automatic license plate identification is a pattern identification technology for automatically identifying the number and the color of a license plate by using a dynamic video or a static image of a vehicle. The hardware basis of the system generally comprises a trigger device (for monitoring whether a vehicle enters a visual field), a camera device, a lighting device, an image acquisition device, a processing machine (such as a computer) for recognizing license plate numbers and the like, and the software core of the system comprises a license plate positioning algorithm, a license plate character segmentation algorithm, an optical character recognition algorithm and the like. Some license plate recognition systems also have a function of judging whether a vehicle exists or not through a video image, which is called video vehicle detection. A complete license plate recognition system comprises the parts of vehicle detection, image acquisition, license plate recognition and the like. When the vehicle detection part detects that the vehicle arrives, the image acquisition unit is triggered to acquire the current video image. The license plate recognition unit processes the image, positions the license plate, divides characters in the license plate for recognition, and then forms a license plate number for output.
And S105, acquiring a second image on the road surface by a second image acquisition unit.
The second image acquisition unit is also a camera, for example.
And S107, determining the track of the first vehicle according to the second image and the license plate number of the first vehicle.
By the vehicle track tracking method, the vehicles to be tracked can be manually specified in the road surface image and tracked under the condition that specific information of the vehicles is not known at first, and the requirements of practical application are met.
In some embodiments, this step comprises:
identifying whether the license plate number of the first vehicle exists in the second image or not through an automatic license plate identification system;
if so, the path from the first image acquisition unit to the second image acquisition unit is the track of the first vehicle;
if not, the license plate automatic identification system identifies whether the third image has the license plate number of the first vehicle, the third image is acquired by the third image acquisition unit, and if so, the path from the first image acquisition unit to the third image acquisition unit is the track of the first vehicle.
First image acquisition unit, second image acquisition unit, third image acquisition unit are adjacent image acquisition unit, and the vehicle has two routes of traveling behind first image acquisition unit: a driving path passing through the second image acquisition unit and a driving path passing through the third image acquisition unit. The time for acquiring the road surface image by the first image acquisition unit, the second image acquisition unit and the third image acquisition unit can be set according to actual conditions.
By the vehicle track tracking method, the vehicles to be tracked can be manually specified in the road surface image and tracked under the condition that specific information of the vehicles is not known at first, and the requirements of practical application are met. In addition, in the application, the vehicle is tracked through the license plate number, and the tracking result is more accurate.
In some embodiments, the method for tracking a vehicle trajectory further comprises: when the image is unclear, the automatic license plate recognition system can only recognize a part of numbers and/or letters of the license plate; analyzing the graphs and characters on the vehicle in the image, and identifying the model and brand of the vehicle; searching in a database according to the model and the brand of the vehicle and part of the identified license plate number to determine the license plate number of the vehicle; the database includes the license plate number of the vehicle and corresponding model and brand information.
The model and the brand of the vehicle are firstly identified when the road surface image is not clear, the target vehicle is searched in the database through the model and the brand of the vehicle and a part of the identified license plate number, and when the model and the brand of the vehicle and a part of the identified license plate number are matched, the target vehicle is found, so that the vehicle can be accurately identified when the road surface image is not clear.
In some embodiments, the first image acquisition unit, the second image acquisition unit, and the third image acquisition unit are all cameras. The database is an SQL Server database.
As shown in fig. 2, the system for tracking a vehicle trajectory of the present application includes: a first image acquisition unit 201, configured to acquire a first image on a road surface, where the first image includes a first vehicle; the license plate automatic recognition system 202 is used for recognizing the license plate number of the first vehicle in the first image; a second image acquisition unit 203 for acquiring a second image on the road surface; and a first determining unit 204 for determining the track of the first vehicle according to the second image and the license plate number of the first vehicle.
Wherein, still include the second and confirm the unit, is used for:
when the image is unclear, the automatic license plate recognition system can only recognize a part of numbers and/or letters of the license plate;
analyzing the graphs and characters on the vehicle in the image, and identifying the model and brand of the vehicle;
searching in a database according to the model and the brand of the vehicle and part of the identified license plate number to determine the license plate number of the vehicle; the database includes the license plate number of the vehicle and corresponding model and brand information.
The first image acquisition unit, the second image acquisition unit and the third image acquisition unit are all cameras.
In the present application, embodiments of a vehicle trajectory tracking system are substantially similar to embodiments of a vehicle trajectory tracking method, and reference is made to the description of the embodiments of the vehicle trajectory tracking method for relevant purposes.
It is clear to a person skilled in the art that the solution according to the embodiments of the invention can be implemented by means of software and/or hardware. The "unit" and "module" in this specification refer to software and/or hardware that can perform a specific function independently or in cooperation with other components, where the hardware may be, for example, an FPGA (Field-Programmable Gate Array), an IC (Integrated Circuit), or the like.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the above-mentioned method steps for vehicle trajectory tracking. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
The application also provides an electronic system comprising any one of the vehicle trajectory tracking systems.
Fig. 3 is a schematic structural diagram of a first determining unit according to an embodiment of the present application, and as shown in fig. 3, the first determining unit of the present application is, for example, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, or other suitable computers. The first determination unit of the present application comprises a processor 401, a memory 402, an input device 403 and an output device 404. The processor 401, memory 402, input device 403, and output device 404 may be connected by a bus 405 or otherwise. The memory 402 has stored thereon a computer program that is executable on the processor 401, and the processor 401 realizes the steps performed by the first determination unit described above when executing the program.
The input device 403 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the data processing computer apparatus, such as a touch screen, keypad, mouse, track pad, touch pad, pointer stick, one or more mouse buttons, track ball, joystick or other input device. The output devices 404 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. Display devices may include, but are not limited to, Liquid Crystal Displays (LCDs), Light Emitting Diode (LED) displays, plasma displays, and touch screens.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
All functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method of vehicle trajectory tracking, comprising:
the method comprises the steps that a first image acquisition unit acquires a first image on a road surface, wherein the first image comprises a first vehicle;
identifying the license plate number of the first vehicle in the first image through an automatic license plate identification system;
the second image acquisition unit acquires a second image on the road surface;
and determining the track of the first vehicle according to the second image and the license plate number of the first vehicle.
2. The method of vehicle trajectory tracking according to claim 1, wherein determining the trajectory of the first vehicle from the second image, the license plate number of the first vehicle, comprises:
identifying whether the license plate number of the first vehicle exists in the second image or not through an automatic license plate identification system;
if yes, the path from the first image acquisition unit to the second image acquisition unit is the track of the first vehicle;
if not, identifying whether a license plate number of the first vehicle exists in a third image, wherein the third image is acquired by a third image acquisition unit, and if so, a path from the first image acquisition unit to the third image acquisition unit is a track of the first vehicle;
the first image acquisition unit, the second image acquisition unit and the third image acquisition unit are adjacent image acquisition units, and after a vehicle passes through the first image acquisition unit, the vehicle has two driving paths, namely a driving path passing through the second image acquisition unit and a driving path passing through the third image acquisition unit.
3. The method of vehicle trajectory tracking according to claim 2, further comprising:
when the image is unclear, the automatic license plate recognition system can only recognize a part of numbers and/or letters of the license plate;
analyzing the graphs and characters on the vehicle in the image, and identifying the model and brand of the vehicle;
searching in a database according to the model and the brand of the vehicle and part of the identified license plate number to determine the license plate number of the vehicle; the database includes the license plate number of the vehicle and corresponding model and brand information.
4. The method for tracking the trajectory of the vehicle according to any one of claims 1 to 3, wherein the first image capturing unit, the second image capturing unit and the third image capturing unit are all cameras.
5. The method of vehicle trajectory tracking according to any one of claims 1-3, wherein said database is a SQL Server database.
6. A system for vehicle trajectory tracking, comprising:
the system comprises a first image acquisition unit, a second image acquisition unit and a control unit, wherein the first image acquisition unit is used for acquiring a first image on a road surface, and the first image comprises a first vehicle;
the license plate automatic identification system is used for identifying the license plate number of the first vehicle in the first image;
the second image acquisition unit is used for acquiring a second image on the road surface;
and the first determining unit is used for determining the track of the first vehicle according to the second image and the license plate number of the first vehicle.
7. The vehicle trajectory tracking system of claim 6, further comprising a second determination unit configured to:
when the image is unclear, the automatic license plate recognition system can only recognize a part of numbers and/or letters of the license plate;
analyzing the graphs and characters on the vehicle in the image, and identifying the model and brand of the vehicle;
searching in a database according to the model and the brand of the vehicle and part of the identified license plate number to determine the license plate number of the vehicle; the database includes the license plate number of the vehicle and corresponding model and brand information.
8. The vehicle trajectory tracking system of claim 7, wherein the first image capturing unit, the second image capturing unit, and the third image capturing unit are all cameras.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
10. An electronic system, characterized in that it comprises a system according to any one of claims 6-8.
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| CN202110993265.6A CN113674262A (en) | 2021-08-26 | 2021-08-26 | Vehicle trajectory tracking method and system |
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| CN202110993265.6A CN113674262A (en) | 2021-08-26 | 2021-08-26 | Vehicle trajectory tracking method and system |
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