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In this paper, an improved object tracking algorithm based on Camshift and grey prediction model GM (1.1) was proposed to solve problem of the poor tracking ability in occlusions. The whole tracking system could be divided into three parts: the occlusions identifying system based on Bhattacharyya coefficient analysis, the prediction system based on grey model GM (1.1) and Camshift algorithm. In the tracking process, those three parts run by turns according to different cases. Experiment results of variant video sequences demonstrate that the proposed method can track the objects stably and accurately during occlusions. Keywords-Occlusions, Grey prediction, Camshift, Object tracking

Object Tracking Algorithm Based on Camshift and Grey Prediction Model in Occlusions