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题名: A Hybrid Tracking Method Based on Active Contour and Mean Shift Algorithm
作者: Zhu LL(朱琳琳) ; Fan BJ(范保杰) ; Li BJ(李本津) ; Tang YD(唐延东)
作者部门: 机器人学研究室
会议名称: 2009 Second International Conference on Intelligent Networks and Intelligent Systems. ICINIS '09
会议日期: November 1-3, 2009
会议地点: Tianjian, China
会议主办者: IEEE
会议录: 2009 Second International Conference onIntelligent Networks and Intelligent Systems. ICINIS '09
会议录出版者: IEEE
会议录出版地: New York
出版日期: 2009
页码: 70-73
收录类别: EI
摘要: Active contour is a very accurate in target tracking and robust to variety of illumination, translation, rotation and large scale. Unfortunately, the problem that active contour method can not track target in real time because of huge computation is still not well resolved. On the contrast, mean shift is a very fast algorithm in target tracking but sensitive to the change of illumination, and can't get the description of target's shape. In our work, we use mean shift method to determine the translation motion of target and build a initial rough contour for active contour method. So the computation of active contour method in early curves evolution stage is greatly reduced and the target can be tracked accurately by minimizing the energy function in few number of interactive computation. Experimental results validate our method.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8483
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
朱琳琳; 范保杰; 李本津; 唐延东.A Hybrid Tracking Method Based on Active Contour and Mean Shift Algorithm.见:IEEE .2009 Second International Conference onIntelligent Networks and Intelligent Systems. ICINIS '09,New York,2009,70-73
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