A vehicle detection method based on improved ViBe algorithm

Yang Yon · Journal of Chongqing University of Posts and Telecommunications · 2014

There is a flaw when ViBe algorithm is used to detect vehicles,that is,the ghost of vehicles would exist over a period in vehicle detection if moving vehicles exist in the first frame and leave in the following frames. Aiming at ghost removing,an improved ViBe modeling method is proposed in this paper. The initialization model would be initialized in the first n frames and updated according to original ViBe update algorithm in the proposed method. The comparative experiments between the original ViBe algorithm and the proposed methods are taken on several videos with different scenes and resolutions. Experiment results show the proposed method can detect moving vehicles as well as remove the ghosts effectively although there are moving vehicles in the first frame of the video. Therefore,the proposed method would be more effective and practical than the original ViBe algorithm.

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