Vehicle speed measuring method based on image instantaneous motion optical flow

Through the instantaneous motion optical flow technology of image, the use of object detection and dense optical flow estimation model, combined with the internal parameters of the camera, the problem of low target tracking accuracy of video speed measurement technology in dense traffic scenes is solved, and the continuous high-precision measurement of vehicle speed is achieved. .

CN119152702AInactive Publication Date: 2024-12-17NORTHEAST FORESTRY UNIV
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Patent Information

Application Number
CN202410829397.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-06-25
Publication Date
2024-12-17
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing video speed measurement technology has interrupted target tracking trajectory and target identity matching errors in intensive traffic scenarios, resulting in the problem of continuous measurement of the same vehicle and low measurement accuracy.

Method used

Using the vehicle speed measurement method based on the instantaneous moving optical flow of the image, the vehicle position information is obtained through the object detection model, the dense optical flow estimation model is used to predict the position of the vehicle in the next frame of the image, and the vehicle driving distance measurement model is constructed based on the internal parameters of the camera, and the vehicle driving distance measurement model is calculated. The instantaneous speed of the vehicle avoids the problem of ID switching during vehicle tracking.

Benefits of technology

Continuous high-precision measurement of vehicle speed is achieved, ID switching problems during target tracking are avoided, and the speed of vehicles at any position in the video can be measured, and the measurement results have high accuracy.

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Abstract

The invention discloses a vehicle speed measuring method based on image instantaneous motion light flow, and relates to the technical field of intelligent traffic management and control. A camera records a traffic stream video and obtains a plurality of continuous frames of images from the video, and vehicle feature point representative position information in the images is obtained through a target detection model; extracting pixel-level motion information of each frame of image through a dense optical flow estimation model, constructing a vehicle driving optical flow field in combination with position information, and mapping the vehicle driving optical flow field to a next frame of image to predict vehicle position information in a time-space domain; constructing a vehicle driving distance measurement model to calculate the vehicle driving distance; and calculating the instantaneous driving speed of the vehicle according to the driving distance of the vehicle and the video frame rate of the camera. The position information of the vehicle in the image is obtained through the target detection model, the position of the vehicle in the next frame image is predicted through the dense optical flow estimation model, the vehicle driving distance measurement model is constructed, the speed of the vehicle is calculated in combination with the frame rate, the ID switching problem during vehicle tracking is avoided, and high accuracy is achieved.
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Citation Information

Patent Citations

  • Speed information acquisition method and device, equipment and medium

    CN113450579A

  • Vehicle overspeed monitoring method and device, computer equipment and storage medium

    CN113470374A

  • Distance prediction method and device, equipment, storage medium and vehicle

    CN115841660A

  • Vehicle speed detection method and device for slow traffic system

    CN117671972A

  • Vehicle speed determination method and apparatus, device, and medium

    WO2022217630A1

Cited By

  • Roadside monocular camera real-time vehicle speed extraction method based on MF fusion algorithm

    CN119941799A