Robust Visual Tracking via Fuzzy Kernel Representation
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| Title | Robust Visual Tracking via Fuzzy Kernel Representation |
| Authors | |
| 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. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2013-05-01 |
| Source | Journal of Computers Vol 8, No 5 (2013): Special Issue of Selected papers of ICAEE 2011 and ICCIT 2011 |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |