Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking
文献类型：期刊论文
| 作者 | Wang, Xiangyang1; Wan, Wanggen1; Zhang, Xiaoqin2; Yu, Xiaoqing1 |
| 刊名 | OPTICAL ENGINEERING
 |
| 出版日期 | 2010 |
| 卷号 | 49期号:1 |
| 关键词 | human motion tracking particle filter annealed particle filter particle swarm optimization |
| 英文摘要 | 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] |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 类目[WOS] | Optics |
| 研究领域[WOS] | Optics |
| 关键词[WOS] | CONVERGENCE ; ALGORITHM |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000274267000018 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9970]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_视频内容安全团队 |
| 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). |
入库方式： OAI收割
来源：自动化研究所
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