IMPROVED CAMSHIFT TRACKING ALGORITHM BASED ON MOTION DETECTION

被引：0

作者：

Qiu, Yu-Hui ^{[1
]}

Zhang, Jian-Wei ^{[1
]}

Lin, Guang ^{[1
]}

Li, Yong-Hui ^{[1
]}

Gao, Dong-Fa ^{[2
]}

机构：

[1] S China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Guangdong, Peoples R China

[2] GuangDong Univ Foreign Studies, Sch Informat, Guangzhou 510420, Guangdong, Peoples R China

来源：

PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4 | 2013年

关键词：

object tracking; mean shift; motion detection;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The traditional Continuously Adaptive Mean Shift Algorithm (CamShift) is widely used, but its drawback is unsatisfactory performance due to counting all 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.

引用

页码：937 / 942

页数：6

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