Target vehicle tracking method and device, computer equipment and storage medium

Abstract

The invention discloses a target vehicle tracking method which is applied to the technical field of intelligent traffic. The method provided by the invention comprises the following steps: acquiring an information query request of a target vehicle, and acquiring a query condition contained in the information query request; based on the query condition, retrieving video frame images stored in a preset database, obtaining each candidate video frame image corresponding to the query condition, and wherein each video frame image corresponds to one piece of timestamp information; determining a target video frame image from the candidate video frame images according to a preset judgment mode; and determining the moving trajectory of the target vehicle based on each target video frame image and the timestamp information corresponding to each target video frame image, so as to improve the efficiency of tracking the target vehicle and determining the moving trajectory of the target vehicle.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, in particular to a target vehicle tracking method, device, computer equipment and storage medium. Background technique [0002] Video surveillance is an important part of urban security systems. Security cameras can provide objective and unbiased evidence when criminal activity occurs. [0003] With the widespread popularity of automobiles and the increase of urban vehicles, urban traffic has brought tremendous pressure. When vehicle-related behaviors occur and the vehicles involved need to be tracked, the security cameras deployed in the city are used to detect such cases. Provided strong support. However, the amount of video information captured by each security camera is huge, and there are a large number of vehicles in the video information, which also brings interference to the search for the involved vehicles. [0004] The prior art retrieves vehicles based on ...

AI Technical Summary

Problems solved by technology

However, the data volume of the video information captured by each security camera is huge, and there are a large number of vehicles in the video information, which also brings interference to the search for the involved vehicles

[0004] Existing technologies retrieve vehicles based on vehicle characteristics, and when checking the retrieved target vehicles and confirming the trajectory of the target vehicle, it takes a lot of manpower to retrieve and compare, resulting in inefficiency

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