Mean-Shift Object Tracking with a Novel Back-Projection Calculation Method

CASIA OpenIR > 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

	Mean-Shift Object Tracking with a Novel Back-Projection Calculation Method
	Wang, LF; Wu, HY; Pan, CH
	2010
会议名称	COMPUTER VISION - ACCV 2009, PT I
会议录名称	Asian Conference on Computer Vision (ACCV)
页码	83-92
会议日期	2010
会议地点	Xi'an, CHINA
摘要	In this paper, we propose a mean-shift tracking method by using the novel back-projection calculation. The traditional back-projection calculation methods have two main drawbacks: either they are prone to be disturbed by the background when calculating the histogram of target-region, or they only consider the importance of a pixel relative to other pixels when calculating the back-projection of search-region. In order to solve the two drawbacks, we carefully consider the background appearance based on two priors, i.e., texture information of background, and appearance difference between foreground-target and background. Accordingly, our method consists of two basic steps. First, we present a foreground-target histogram approximation method to effectively reduce the disturbance from background. Moreover, the foreground-target histogram is used for back-projection calculation instead of the target-region histogram. Second, a novel back-projection calculation method is proposed by emphasizing the probability that a pixel belongs to the foreground-target. Experiments show that our method is suitable for various tracking scenes and is appealing with respect to robustness.
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/173211/4719
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, LF,Wu, HY,Pan, CH. Mean-Shift Object Tracking with a Novel Back-Projection Calculation Method[C],2010:83-92.

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