文章基本信息

标题：Analysis of Abnormal Vehicle Behavior Based on Trajectory Fitting
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作者：Enyuan Jiang ; Xuejun Wang
期刊名称：Journal of Computer and Communications
印刷版ISSN：2327-5219
电子版ISSN：2327-5227
出版年度：2015
卷号：03
期号：11
页码：13-18
DOI：10.4236/jcc.2015.311003
语种：English
出版社：Scientific Research Publishing
摘要：In order to analysis the abnormal vehicle behavior by trajectory fitting effectively, the whole process is divided into three steps: target detection and tracking, vehicle trajectory analysis, vehicle behavior detection. Firstly, a three-frame-differencing method is used to achieve initial target location and an improved tracking algorithm based on Kalman predictor is proposed; then, an adaptive segmented linear fitting algorithm is proposed to achieve vehicle trajectory fitting; finally, two parameters including the rate of velocity variation and the rate of direction variation are used to establish vehicle abnormal behavior detection model. Experiment result shows that the three high dangerous vehicle behaviors in road surveillance videos can be detected effectively: sharp brake, sharp turn, and sharp turn brake.
关键词：Target Detection;Target Tracking;Trajectory Fitting;Vehicle Behavior Detection