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	Edge-color-histogram and Kalman filter-based real-time object tracking
	Liu Weijin ; Zhang Yujin
	2010-10-12 ; 2010-10-12
关键词	Practical/ image colour analysis image matching Kalman filters target tracking/ edge color orientation histogram real-time object tracking algorithm Kalman filter background clutter scene illumination variation image matching/ B6135 Optical, image and video signal processing B6140B Filtering methods in signal processing C5260B Computer vision and image processing techniques
中文摘要	An object tracking algorithm based on Kalman filter and edge orientation histogram (EOH) was used to improve the tracking performance with scene illumination variations or complicated backgrounds. Since the EOH is not sensitive to light or color variation, this method works well when tracking object in such cases. The Kalman filter is used to estimate the new position and angle and then a new estimate of the EOH is calculated to quickly and efficiently match the target. Tests show that the color histogram method easily losts objects while the EOH follows them very well. The tests show that the EOH and the Kalman filter can track objects in real-time when the illumination varies or background clutter is present.
语种	中文
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82487]
专题	清华大学
推荐引用方式 GB/T 7714	Liu Weijin,Zhang Yujin. Edge-color-histogram and Kalman filter-based real-time object tracking[J],2010, 2010.
APA	Liu Weijin,&Zhang Yujin.(2010).Edge-color-histogram and Kalman filter-based real-time object tracking..
MLA	Liu Weijin,et al."Edge-color-histogram and Kalman filter-based real-time object tracking".(2010).

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