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 :
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