Motion compensation algorithm based on color orientation codes and covariance matching

Authors:
Xuguang Zhang;Weili Ding;Peifeng Niu
Affiliations:
Key Lab of Industrial Computer Control Engineering of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China;Key Lab of Industrial Computer Control Engineering of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China;Key Lab of Industrial Computer Control Engineering of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China
Venue:
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part II
Year:
2010

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Abstract

Regions extraction and matching are two key steps in image motion compensation. This paper applies the skills of covariance matching and information entropy to motion compensation to improve its performance. First, color orientation codes are employed to compute the information entropy of an image region and detect the sub-block regions automatically. Secondly, covariance matrices are used to match sub-blocks between current frame and previous frame. Finally, we gain the global motion parameters by affine motion model. Experimental results show that the proposed algorithm can detect and compensate global motion in indoor and outdoor environment and has outstanding result than traditional histogram matching.