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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
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 
Submitted: October 17, 2012
Accepted: December 10, 2012
Published: April 05, 2013
Abstract:
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.

Key words:  Fuzzy factor, fuzzy kernel histogram, fuzzy membership function, visual tracking, , ,
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Cite this Reference:
Zhiqiang Wen, Yongxin Long and Zhaoyi Peng, . Robust Visual Tracking via Fuzzy Kernel Representation. Research Journal of Applied Sciences, Engineering and Technology, (11): 3212-3218.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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