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Zhao, Y.T., Li, X.Y. and Luo, D.H. (2011) Study on the Methods of Automatic Incident Detection Based on the Video Vehicle Trajectory Model. Acta Scientiarum Naturalium Universitatis Sunyatseni, 56-60. (In Chinese) http://www.cnki.com.cn/Article/CJFDTotal-ZSDZ201104012.htm

has been cited by the following article:

• TITLE: Analysis of Abnormal Vehicle Behavior Based on Trajectory Fitting

  AUTHORS: Enyuan Jiang, Xuejun Wang

  KEYWORDS: Target Detection, Target Tracking, Trajectory Fitting, Vehicle Behavior Detection

  JOURNAL NAME: Journal of Computer and Communications, Vol.3 No.11, November 19, 2015

  ABSTRACT: 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.