A video-based target vehicle extraction method

Abstract

The invention discloses a video-based target vehicle extraction method, which aims to solve the problem that the target vehicle extraction process in the prior art ignores the difference in the feature information of the same vehicle in different frames, which leads to the failure of target vehicle extraction in some frames, resulting in As a result, the accuracy of video compression is low. This application screens out the target vehicle through the first feature extraction, then removes the stationary vehicle, and then performs similarity matching between subsequent video frames and the target vehicle. If the matching is successful, no feature extraction will be performed. and matching to avoid the problem that the feature information reflected in different video frames of the same vehicle has a certain difference, which leads to feature extraction errors and thus affects the accuracy of compression. The method adopted in the present invention improves the accuracy of the resulting video compression. It overcomes the technical barrier in the prior art that video frames are required to perform feature extraction for each frame; the application is applicable to the field of video image processing.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to a method for extracting a target vehicle based on video. Background technique [0002] With the rapid development of society, the social economy has made great progress, and the traffic has changed with each passing day. Vehicles have greatly changed people's lives, the pace of society has been greatly accelerated, and people's work efficiency has been greatly improved. But vehicles also bring many social problems, such as frequent traffic accidents, so how to supervise the form of vehicles has become a hot spot. Currently, cameras are used for video surveillance, but the amount of video data is large and the content of the data is large, so how to effectively extract the target vehicle has become another problem. There are various target frame extraction methods such as automatic license plate recognition, loop coil detection method, and pre-divided recognition method. A...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the target vehicle extraction process in the prior art ignores the difference in the feature information of the same vehicle in different frames, which leads to the failure of the target vehicle extraction in some frames, resulting in low accuracy of the resulting video compression. Provides a video-based target vehicle extraction method with higher compression accuracy

Images