Feature-fusion based object tracking for robot platforms

	Feature-fusion based object tracking for robot platforms
	Zhang X. G.; Liu H. H.; Wang Y. J.
	2011
发表期刊	Industrial Robot-an International Journal
ISSN	0143-991X
卷号	38 期号:1 页码:66-75
摘要	Purpose - Object tracking has been a challenging problem of robot vision over the decades, which plays a key role in a wide spectrum of visual tracking-related applications such as surveillance, visual servoing, sensing and navigation in robotics, video compression. The purpose of this paper is to present a novel intensity, orientation codes and geometry (IOCG) histogram variant of the mean-shift algorithm for object tracking. Design/methodology/approach - Feature cues of intensity, orientation codes and geometric information are fused together to form an IOCG histogram in combination with a conventional mean-shift-based tracking algorithm. Findings - Experimental results demonstrate the effectiveness and efficiency of the proposed method. Not only do fusing orientation codes features allow the proposed algorithm to conduct tracking in a cluttered background, but partial occlusion is also solved in the tracker in that spatial information usually lost in a conventional histogram is compensated by the introduced geometric relations between tracked pixels and the center of a tracker template. Originality/value - The paper presents a novel vision tracking method for robots.
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/34389
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zhang X. G.,Liu H. H.,Wang Y. J.. Feature-fusion based object tracking for robot platforms[J]. Industrial Robot-an International Journal,2011,38(1):66-75.
APA	Zhang X. G.,Liu H. H.,&Wang Y. J..(2011).Feature-fusion based object tracking for robot platforms.Industrial Robot-an International Journal,38(1),66-75.
MLA	Zhang X. G.,et al."Feature-fusion based object tracking for robot platforms".Industrial Robot-an International Journal 38.1(2011):66-75.

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