Moving Object Tracking via Hausdorff Distance and Particle Filter

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 光电信息技术研究室

	Moving Object Tracking via Hausdorff Distance and Particle Filter
	Wang JQ(王俊卿); Shi ZL(史泽林); Huang SB(黄莎白)
	2005
会议名称	2005 International Conference on Intelligent Computing (ICIC’05)
会议日期	August 23-26, 2005
会议地点	Hefei, China
页码	853-854
中文摘要	Moving object tracking is widely applied in computer vision. A novel method for moving object tracking, which utilizes particle filter and Hausdorff distance is proposed in this paper. This algorithm consists of system model, measure model, the strategy of template update with adaptive tracking window and solution to occlusion in the particle filter framework. In system model, Hausdorff distance and edge information of target are applied to improve the robustness against variation of rotation, scale, translation and illumination of target. In measure model, this new similarity metric defined based on gray histogram not only enhances tracking fault-tolerant property, but its computational cost has also been greatly reduced. The strategy of update template of adaptive tracking window and solution to occlusion makes tracking more stable and robust. The experimental results also illustrate that this algorithm is stable and efficient to track deformable objects in image sequences.
产权排序	1
会议录	2005 International Conference on Intelligent Computing (ICIC’05)
语种	英语
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/9721]
专题	沈阳自动化研究所_光电信息技术研究室
推荐引用方式 GB/T 7714	Wang JQ,Shi ZL,Huang SB. Moving Object Tracking via Hausdorff Distance and Particle Filter[C]. 见:2005 International Conference on Intelligent Computing (ICIC’05). Hefei, China. August 23-26, 2005.