A Novel Moving Object Tracking Method Using ICA-R

Authors:
Xiaohong Ma;Lixin Wang;Yi Feng;Hualou Liang
Affiliations:
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, People's Republic of China 116023;School of Electronic and Information Engineering, Dalian University of Technology, Dalian, People's Republic of China 116023;School of Electronic and Information Engineering, Dalian University of Technology, Dalian, People's Republic of China 116023;School of Biomedical Engineering, Drexel University, Philadelphia, USA PA 19104
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Year:
2009

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Abstract

In this paper, the independent component analysis with reference (ICA-R) algorithm is proposed to track moving object. Taking the invariant moment of the detected object image as the reference signal, the moving object which shares the same characteristic as the reference can be extracted from the video frames through the ICA-R algorithm. Our algorithm can easily be extended to tackle the non-totally occlusion problem: the detected object image is first divided into either two or four parts and the unoccluded sub-parts can then be tracked through the ICA-R algorithm. As a result, the tracking of the whole moving object can be realized. The experimental results demonstrate the effectiveness of the proposed method.