Moving Vehicle Detection Based on Motion Vector Model
Xiangzhong Fang · Video Engineering · 2007
This paper presents the algorithm for moving vehicle detection in image sequences of traffic scenes.By investigating the distinction between the motion vectors of the dynamic background and those of the moving vehicles,motion models are set up respectively.Then,the intra-frame information is used to modify the motion model.Finally,Bayesian decision rule is implemented to detect vehicle from dynamic background.Experimental results show that the proposed method can detect moving vehicle more accurately and robustly in complex and dynamic scenes.