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2013 (Vol. 5, Issue: 11)
Article Information:

Robust Visual Tracking via Fuzzy Kernel Representation

Zhiqiang Wen, Yongxin Long and Zhaoyi Peng
Corresponding Author:  Zhiqiang Wen 

Key words:  Fuzzy factor, fuzzy kernel histogram, fuzzy membership function, visual tracking, , ,
Vol. 5 , (11): 3212-3218
Submitted Accepted Published
October 17, 2012 December 10, 2012 April 05, 2013

A robust visual kernel tracking approach is presented for solving the problem of existing background pixels in object model. At first, after definition of fuzzy set on image is given, a fuzzy factor is embedded into object model to form the fuzzy kernel representation. Secondly, a fuzzy membership functions are generated by center-surround approach and log likelihood ratio of feature distributions. Thirdly, details about fuzzy kernel tracking algorithm is provided. After that, methods of parameter selection and performance evaluation for tracking algorithm are proposed. At last, a mass of experimental results are done to show our method can reduce the influence of the incomplete representation of object model via integrating both color features and background features.
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  Cite this Reference:
Zhiqiang Wen, Yongxin Long and Zhaoyi Peng, 2013. Robust Visual Tracking via Fuzzy Kernel Representation.  Research Journal of Applied Sciences, Engineering and Technology, 5(11): 3212-3218.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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