中国科学院机构知识库网格系统: Mean shift tracking combining SIFT (EI CONFERENCE)

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

Mean shift tracking combining SIFT (EI CONFERENCE)

文献类型：会议论文


作者	Xue C.
出版日期	2008
会议名称	2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008
会议地点	Beijing, China
关键词	A novel visual tracking algorithm to cope with occlusion and scale variation is proposed. This method combines mean shift and SIFT algorithm to track object. SIFT algorithm is invariant to rotation translation and scale variation. But it is a timeconsuming algorithm. The wasting time is related to image size. So the proposed algorithm first adopts mean shift to initially locate object position then SIFT operator is used to detect features in object area and model area lastly the proposed method matches features in these two areas and calculates the relationship between them using affine transform. According to affine transform parameters the state of object can be adjusted in time. In order to reduce process time an improved feature matching algorithm is proposed in this paper. Experiments show that the proposed algorithm deals with occlusion successfully and can adjust object size in time. 2008 IEEE.
页码	1532-1535
收录类别	EI
源URL	[http://ir.ciomp.ac.cn/handle/181722/33043]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Xue C.. Mean shift tracking combining SIFT (EI CONFERENCE)[C]. 见:2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008. Beijing, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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