EFFECTIVE MULTI-RESOLUTION BACKGROUND SUBTRACTION

	EFFECTIVE MULTI-RESOLUTION BACKGROUND SUBTRACTION
	Wang, LF; Pan, CH
	2011
会议名称	2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
会议录名称	IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
页码	909-912
会议日期	2011
会议地点	Prague
摘要	In this paper, we propose a novel multi-resolution background sub traction method. We adopt coarse to fine strategy, which is the essence the multi-resolution scheme, to obtain the foreground mask. The rough mask is first gained relied on the Single Gaussian Model, which holds minor computation cost. Then, the slightly accuracy mask is calculated by the Saliency-based Extraction Model, which contains high accuracy and stability. Finally, Contour-based Refining Model is used to refine the mask edge. Our algorithm is evaluated against several video sequences, and experimental results show that the proposed method is suitable for various scenes and is appealing with respect to robustness.
关键词	Contour-based Refining Model Saliency-based Extraction Model Single Gaussian Model Background Subtraction Multi-resolution
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/173211/4718
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,Pan, CH. EFFECTIVE MULTI-RESOLUTION BACKGROUND SUBTRACTION[C],2011:909-912.