Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking

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	Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking
	Wang, Xiangyang 1; Wan, Wanggen 1; Zhang, Xiaoqin 2; Yu, Xiaoqing 1
发表期刊	OPTICAL ENGINEERING
	2010
卷号	49 期号:1
文章类型	Article
摘要	Three-dimensional articulated human motion tracking is challenging due to the high-dimensional parameter space and poor image observations. When particle swarm optimization (PSO) is used for human motion tracking, due to unreliable image likelihood, particles may be misled and be unable to find the most plausible pose space. This paper proposes a new PSO-based algorithm for human motion tracking, annealed PSO-based particle filter (APSOPF). The sampling covariance and annealing factor are incorporated into the velocity-updating equation of PSO; they are initialized with appropriate values at the beginning of the PSO iteration, and decreased (annealed) in reasonable steps. Through the sampling covariance, the motion prior is introduced into APSOPF, constraining particles to the most likely region of pose space and reducing the generation of invalid particles. By adopting decreasing coefficients in the updating principle, the leading effects of the local and global best on particles decrease with generations, making particles preserve their own divergence and self-exploration capabilities before convergence. Hence the problem of insufficiently reliable image likelihood can be mitigated in some degree. We compare APSOPF quantitatively with an annealed particle filter and a standard particle filter on the challenging HumanEvaI data set. Experimental results show that the proposed algorithm achieves lower estimation error in tracking real-world 3-D human motion. (C) 2010 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3281669]
关键词	Human Motion Tracking Particle Filter Annealed Particle Filter Particle Swarm Optimization
WOS标题词	Science & Technology ; Physical Sciences
关键词[WOS]	CONVERGENCE ; ALGORITHM
收录类别	SCI
语种	英语
WOS研究方向	Optics
WOS类目	Optics
WOS记录号	WOS:000274267000018
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9970
专题	多模态人工智能系统全国重点实验室_视频内容安全
作者单位	1.Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200072, Peoples R China 2.Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xiangyang,Wan, Wanggen,Zhang, Xiaoqin,et al. Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking[J]. OPTICAL ENGINEERING,2010,49(1).
APA	Wang, Xiangyang,Wan, Wanggen,Zhang, Xiaoqin,&Yu, Xiaoqing.(2010).Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking.OPTICAL ENGINEERING,49(1).
MLA	Wang, Xiangyang,et al."Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking".OPTICAL ENGINEERING 49.1(2010).