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题名: A tracking method with structural local mean and local standard deviation appearance model
作者: Yang DW(杨大为) ; Cong Y(丛杨) ; Tang YD(唐延东) ; Li, Yulian
作者部门: 机器人学研究室
会议名称: 全国模式识别学术会议(6th Chinese Conference on Pattern Recognition)
会议日期: 2014年11月17-19
会议地点: 湖南长沙
会议录: Communications in Computer and Information Science
会议录出版者: Springer Verlag
会议录出版地: Berlin
出版日期: 2014
页码: 355-362
收录类别: EI
ISSN号: 1865-0929
ISBN号: 978-3-662-45645-3
关键词: object tracking ; local mean ; local standard deviation ; structural appearance model ; the Native Bayesian
摘要: Aiming at the problem of illumination variation and partial occlusion in the object tracking, a structural local mean and local standard deviation appearance model is proposed. The object image is divided into some blocks. In each block, the local mean and local standard deviation are calculated, then, a feature vector is composed. In order to weaken the effect of the partial occlusion, an adaptive weighted value is set to each feature component. The Native Bayesian theory is applied to track the object in affine transform space. The experimental results demonstrate that the proposed tracking method performs favorably against several state-of-the-art methods.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15407
Appears in Collections:机器人学研究室_会议论文

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