Automatic Traffic Abnormality Detection in Traffic Scenes: An Overview

Abstract

In recent years, with the continuous improvement of the computer’s ability of data processing, and the rapid development of image processing and pattern recognition technology, the traffic information automatic detection technology based on video has become a research focus in the intelligent transportation field. This article presents an overview of the state-of-theart methods of automatic traffic abnormality detection and their extensions. In this paper, we introduced automatic traffic abnormality detection methods based on trajectory analysis, based on optical flow, based on image visual features descriptor and contrasted their advantages and disadvantages.