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Robust and efficient visual tracking under illumination changes based on maximum color difference histogram and min-max-ratio metric

[+] Author Affiliations
Fanxiang Zeng

Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, State Key Laboratory of Information Photonics and Optical Communications, No. 10, Xi Tu Cheng Road, Beijing 100876, China

Xuan Liu

Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, State Key Laboratory of Information Photonics and Optical Communications, No. 10, Xi Tu Cheng Road, Beijing 100876, China

Zhitong Huang

Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, State Key Laboratory of Information Photonics and Optical Communications, No. 10, Xi Tu Cheng Road, Beijing 100876, China

Yuefeng Ji

Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, State Key Laboratory of Information Photonics and Optical Communications, No. 10, Xi Tu Cheng Road, Beijing 100876, China

Lin Bai

Beijing University of Posts and Telecommunications, School of Economics and Management, No. 10, Xi Tu Cheng Road, Beijing 100876, China

J. Electron. Imaging. 22(4), 043022 (Dec 16, 2013). doi:10.1117/1.JEI.22.4.043022
History: Received March 1, 2013; Revised October 11, 2013; Accepted November 8, 2013
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Abstract.  Visual tracking under illumination changes is a challenging task for numerous computer vision applications. We propose a robust and efficient tracking algorithm based on maximum color difference histogram (MCDH) and a well-designed min-max-ratio (MMR) similarity metric. Appearance model is essential to the tracker’s robustness under illumination changes. We propose a new feature descriptor MCDH, calculated by exploiting the maximum color difference information within the eight-neighborhood of each pixel in the object region, to build the object appearance model. Unlike the traditional histogram-based algorithms, the MCDH is efficiently extracted by employing the local integral histogram which is propagated in a specially designed local image region. The similarity metric plays an important role on accurately locating the target. However, the existing metrics are not suitable for comparisons of MCDHs due to many zero-valued bins in MCDH. Therefore, we propose a new MMR metric, defined as the average ratio between the minimum and maximum of a MCDH bin pair. The combination of proposed components enables the tracker to be robust to illumination changes with high computational efficiency. Experiments demonstrate superior performance of the proposed tracking algorithm compared with 10 state-of-art tracking methods when illumination varies.

© 2013 SPIE and IS&T

Citation

Fanxiang Zeng ; Xuan Liu ; Zhitong Huang ; Yuefeng Ji and Lin Bai
"Robust and efficient visual tracking under illumination changes based on maximum color difference histogram and min-max-ratio metric", J. Electron. Imaging. 22(4), 043022 (Dec 16, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.4.043022


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