Vehicle association method, computer equipment and device

Abstract

The invention discloses a vehicle association method, computer equipment and a device. The vehicle association method comprises the following steps: acquiring a current frame image; extracting attitude position information and feature information of a plurality of vehicles in the current frame image, and extracting attitude position information and feature information of the target vehicle in the historical frame image; analyzing and processing the attitude position information of each vehicle in the current frame image and the attitude position information of the target vehicle in the historical frame image so as to determine candidate vehicles from a plurality of vehicles in the current frame image; and matching the feature information of each candidate vehicle with the feature information of the target vehicle, and determining an associated vehicle of the target vehicle in the current frame image. By means of the mode, the target vehicles in different frames of images can be accurately determined, and the accuracy of vehicle association between the images is improved.

Description

technical field [0001] The present application relates to the field of image processing, in particular to a vehicle association method, computer equipment and device. Background technique [0002] Vehicles have brought great convenience for people to travel. However, with the increasing number of vehicles, the incidents of vehicle violations are also increasing. The intelligent detection of vehicle violations can help the traffic management department improve the speed of judging violations and reduce labor costs. The intelligent detection of vehicle violations is to use various sensors and image acquisition equipment to capture illegal vehicles at the front end, and conduct a second review of vehicle violations at the back end. [0003] In the secondary review of vehicle violations, it is necessary to find the same illegal vehicle in different frame images and associate the same illegal vehicle in different frame images. However, the violation image sequence obtained by t...

AI Technical Summary

Problems solved by technology

However, the violation image sequence obtained by the violation review is not complete, and the interval between images in the violation image sequence is not fixed

In the long-term research and development process, the inventors of the present application found that the vehicle correlation accuracy between different images in the illegal image sequence is low, which often leads to misjudgment

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