Traffic Object's Abnormal Behavior Recognition Based on Trajectory Analysis
Xiaoyan Zhang · Video Engineering · 2012
In view of the problems of recognizing moving object's abnormal behavior on traffic surveillance,an algorithm on recognizing abnormal behaviors based on trajectory analysis is proposed in this paper.Firstly,four parameters of the object such as space coordinates,velocity,direction and size,are introduced to describe and cluster the trajectories in order to improve the capability of distinguishing and recognizing different objects' trajectories.Secondly,a method of establishing and calling the database on behavior recognizing is presented in this paper,and an actual traffic scene is taken as an example which explains the establishment and calling process of the database in detail.Finally,a method based on Bayes optimization is adopted to match the trajectory,including union match and edge match,and the database is called according to the match situation to identify the object's behavior.The experimental results show that this method is effective,and has some practical value.