NDLI: Improved CamShift tracking algorithm based on motion detection

Content Provider	IEEE Xplore Digital Library
Author	Yu-Hui Qui Jian-Wei Zhang Guang Lin Yong-Hui Li Dong-Fa Gao
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China (Yu-Hui Qui; Jian-Wei Zhang; Guang Lin; Yong-Hui Li) \|\| Sch. of Inf., GuangDong Univ. of Foreign Studies, Guangzhou, China (Dong-Fa Gao)
Abstract	The traditional Continuously Adaptive Mean Shift Algorithm (CamShift) is widely used, but its drawback is unsatisfactory performance due to counting aU pixels when calculating the color histogram and back projection using a rectangular box to select the target. We propose an improved CamShift Algorithm based on motion detection. When calculating the color histogram of a target within the rectangular box, it adds a mask layer to remove background pixels around targets. When calculating the back projection, it adds a mask layer to remove all background pixels within the window to eliminate the interference of similar color in the background. The experimental results show that this improved algorithm utilizes the color feature better and keeps the tracking right even when background interference exists.
Starting Page	937
Ending Page	942
File Size	1040536
Page Count	6
File Format	PDF
ISBN	9781479902606
DOI	10.1109/ICMLC.2013.6890417
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Motion detection Abstracts Color motion detection object tracking mean shift
Content Type	Text
Resource Type	Article

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