DocumentCode
1676760
Title
Researches of scale adaptive Mean Shift target tracking algorithm
Author
Tian, Cunwei ; Ge, Guangying ; Ye, Shuxiang ; Bao, Xinzong
Author_Institution
Sch. of Phys. Sci. & Inf. Eng., Liaocheng Univ., Liaocheng, China
fYear
2010
Firstpage
700
Lastpage
703
Abstract
Fuzzy Threshold Segmentation has been used for target tracking to improve deficiency that the bandwidth of kernel function of Mean Shift is not changeable. The weight of gradation transformation is ascertained by the contrast of similarity of RGB component between the target and background. According to certain rules,the bandwidth of kernel function is corrected with the statistic of target pixels. The scale adaptive of track window has been realized. Experiment results show the new algorithm can track objects accurately, effectively and real time. The new algorithm also overcomes the limitations of the traditional one.
Keywords
fuzzy set theory; image colour analysis; image segmentation; target tracking; RGB component; fuzzy threshold segmentation; gradation transformation; kernel function; scale adaptive mean shift algorithm; target pixels; target tracking; Automation; Computer vision; Intelligent control; Kernel; Manganese; Pattern recognition; Target tracking; Fuzzy Threshold Segmentation; Mean Shift; Scale adaptation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554032
Filename
5554032
Link To Document