Analysis of Abnormal Vehicle Behavior Based on Trajectory Fitting

Enyuan Jiang, Xuejun Wang

College of Communication Engineering, Jilin University, Changchun, China.

DOI: 10.4236/jcc.2015.311003                

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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