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.