Robust similarity measurement based on gray change consensus for target tracking

Xiao Zhou; Xingang Mou; Ruolan Hu; Guilin Zhang

doi:10.1117/12.902824

8 December 2011 Robust similarity measurement based on gray change consensus for target tracking

Xiao Zhou, Xingang Mou, Ruolan Hu, Guilin Zhang

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80031C (2011) https://doi.org/10.1117/12.902824
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Concerning the target losing problem caused by partial occlusion, uneven illumination and so on during the image tracking procedure by traditional algorithms, a new tracking method based on robust similarity measurement criteria is proposed in this paper. The measurement is carried out with the original gray image pair with no preprocessing such as feature extraction. First, a two-dimensional joint distribution histogram is set up to describe the gray value change between the pixel in the reference and its corresponding pixel in the real image. Then, the law of data distribution under uneven illumination and partial occlusion is concluded. At last, a strategy based on Hough transformation is adopted to calculate the measurement value on the joint histogram. The method is robust for the uneven illumination. And small partial occlusion has little influence on the output value of the similarity measurement. Comparing experimental results show the new method's efficiency.

Citation Download Citation

Xiao Zhou, Xingang Mou, Ruolan Hu, and Guilin Zhang "Robust similarity measurement based on gray change consensus for target tracking", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80031C (8 December 2011); https://doi.org/10.1117/12.902824

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