MEAN-shift tracking algorithm with weight fusion strategy

	MEAN-shift tracking algorithm with weight fusion strategy
	Wang, Lingfeng; Pan, Chunhong; Xiang, Shiming
	2011
会议名称	International Conference on Image Processing, ICIP
会议录名称	International Conference on Image Processing (ICIP)
页码	473-476
会议日期	2011
会议地点	Brussels
摘要	In this paper, we propose a new Mean-shift algorithm to tackle some tracking difficulties, such as background clutter and partial occlusion. First, we compare all Mean-shift-like tracking algorithms, and indicate that the main difference among them is weight calculation. Then, a new fusion strategy is proposed to unify all weight calculation methods into a framework. Based on this framework, we propose a novel weight calculation method, which takes the candidate model into consideration as well as incorporates the local background. Extensive experiments are conducted to evaluate the proposed approach. Comparative experimental results indicate that the tracking accuracy is improved as compared with the state-of-the-arts.
关键词	Mean-shift Fusion Strategy
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4711
专题	多模态人工智能系统全国重点实验室_先进时空数据分析与学习
推荐引用方式 GB/T 7714	Wang, Lingfeng,Pan, Chunhong,Xiang, Shiming. MEAN-shift tracking algorithm with weight fusion strategy[C],2011:473-476.