DocumentCode
1592676
Title
Kernel Tracking Approach Based on Fuzzy Kernel Histogram
Author
Wen Zhiqiang ; Zhu Yanhui ; Peng Zhaoyi
Author_Institution
Sch. of Comput. & Commun., Hunan Univ. of Technol., Zhuzhou, China
fYear
2012
Firstpage
321
Lastpage
324
Abstract
In kernel tracking, background pixels in object model will induce localization error of object tracking, so we present a kernel tracking approach based on fuzzy kernel histogram in this paper. At first, a fuzzy factor is used in kernel histogram to form the fuzzy kernel histogram and a fuzzy membership functions are designed to acquire the fuzzy factor according to the center-surround approach and the background histogram. Secondly, details about kernel tracking algorithm based on fuzzy kernel histogram is provided. After that, the methods of performance evaluation and parameter selection are proposed. At last, a mass of experimental results show our approach has good localization precision of object tracking.
Keywords
fuzzy set theory; object tracking; background histogram; background pixels; center-surround approach; fuzzy factor; fuzzy kernel histogram; fuzzy membership functions; kernel tracking approach; object model; object tracking localization error; parameter selection; performance evaluation; Bandwidth; Color; Histograms; Image color analysis; Kernel; Lighting; Vectors; fuzzy kernel histogram; fuzzy membership function; object tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4577-2120-5
Type
conf
DOI
10.1109/ISdea.2012.675
Filename
6173213
Link To Document