Automatic moving object segmentation with accurate boundaries

	Automatic moving object segmentation with accurate boundaries
	Wang, J; Wang, HF; Liu, QS; Lu, HQ; Narayanan, PJ; Nayar, SK; Shum, HY
刊名	COMPUTER VISION - ACCV 2006, PT I
	2006
卷号	3851 页码:276-285
英文摘要	This paper presents a layer-model based method to segment moving objects from image sequence with accurate boundaries. The segmentation framework involves three stages: Motion seed detection, Motion layer expansion and Motion boundary refinement. In the first stage, motion seeds, which determine the amount and initial position of motion layers, are detected by corner matching between consecutive frames, and classified by global motion analysis. In the second stage, the detected motion seeds are expanded into motion layers. To preserve the spatial continuity, an energy function is defined to evaluate the spatial smoothness and accuracy of the layers. Then, Graph Cuts technique is used to solve the energy minimization problem and extract motion layers. In the last stage, the extracted layers are combined with edge information to find accurate boundaries of moving objects. The proposed method is tested on several image sequences and the experimental results illustrate its promising performance.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
研究领域[WOS]	Computer Science
收录类别	ISTP ; SCI
语种	英语
WOS记录号	WOS:000235772300029
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9288]
专题	自动化研究所_09年以前成果
作者单位	Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Wang, J,Wang, HF,Liu, QS,et al. Automatic moving object segmentation with accurate boundaries[J]. COMPUTER VISION - ACCV 2006, PT I,2006,3851:276-285.
APA	Wang, J.,Wang, HF.,Liu, QS.,Lu, HQ.,Narayanan, PJ.,...&Shum, HY.(2006).Automatic moving object segmentation with accurate boundaries.COMPUTER VISION - ACCV 2006, PT I,3851,276-285.
MLA	Wang, J,et al."Automatic moving object segmentation with accurate boundaries".COMPUTER VISION - ACCV 2006, PT I 3851(2006):276-285.