Vehicle Video Feature Extraction System and Method Based on Video Structured Description

Abstract

The invention relates to a vehicle video characteristic extraction system and a vehicle video characteristic extraction method based on video structure description and belongs to the technical field of video processing. The system comprises a video streaming coding resolver, a vehicle bottom layer characteristic extractor, a vehicle video standard characteristic extractor, a license plate and vehicle logo divider, a license plate and vehicle logo recognizer and a video task support server. The method comprises the steps of firstly utilizing the video streaming coding resolver, the vehicle bottom layer characteristic extractor, the vehicle video standard characteristic extractor, the license plate and vehicle logo divider and the license plate and vehicle logo recognizer to extract vehicle characteristics in traffic monitoring video, then the video task support server uses a timestamp as a uniform identification to store information output by other modules to achieve information dynamic relevance, and the stored information are assembled to generate texts to be output to facilitate follow-up video access and quick index and location in processing to be capable of intelligently monitoring vehicle behaviors in road management in real time.

Description

technical field [0001] The present invention relates to the technical field of video processing, in particular to the technical field of video feature extraction, in particular to a vehicle video feature extraction system and method based on video structured description. Background technique [0002] In recent years, the large-scale popularization of automobiles and the increase of urban vehicles have brought enormous pressure to urban traffic. While bringing convenience to people's lives, it also leads to more serious problems such as road congestion and traffic accidents. Various vehicle violations are also common, and the casualties caused by traffic accidents have remained high year after year. [0003] In order to deal with the above problems, it has become one of the important contents of traffic management to collect statistics on the traffic flow of key roads and expressways, monitor and collect traffic violations such as speeding and overloading, as well as road co...

AI Technical Summary

Problems solved by technology

[0005] Although the above-mentioned systems and methods in the prior art explore and apply vehicle detection and tracking methods, they do not involve a practical traffic supervision system with complete functions, and cannot realize the association of vehicle attributes in video with video frames. When using video data, it still takes a lot of manpower to read and compare the video, which limits the extended application of the traffic supervision system

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