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Segmenting and tracking multiple objects under occlusion using multi-label graph cut
Mingjun Wu; Xianrong Peng; Qiheng Zhang; Rujin Zhao
Source PublicationComputers and Electrical Engineering
Volume36Issue:5Pages:927-934
2010
Language英语
Subtype期刊论文
AbstractThis paper proposes a new method to segment and track multiple objects through occlusion by integrating spatial-color Gaussian mixture model (SCGMM) into an energy minimization framework. When occlusion does not occur, a SCGMM is learned for each object. When the objects are subject to occlusion, energy minimization is used to segment the objects from occlusion. To make the learned SCGMMs suitable for the segmentation of the current occlusion, a displacing procedure is utilized to adapt the SCGMMs to the spatial variations. A multi-label energy function is formulated building on the displaced SCGMMs and then minimized using the multi-label graph cut algorithm, thus leading to both the segmentation and tracking results of the objects with occlusion. Experimental validation of the proposed method is performed and presented on several video sequences. [All rights reserved Elsevier].; This paper proposes a new method to segment and track multiple objects through occlusion by integrating spatial-color Gaussian mixture model (SCGMM) into an energy minimization framework. When occlusion does not occur, a SCGMM is learned for each object. When the objects are subject to occlusion, energy minimization is used to segment the objects from occlusion. To make the learned SCGMMs suitable for the segmentation of the current occlusion, a displacing procedure is utilized to adapt the SCGMMs to the spatial variations. A multi-label energy function is formulated building on the displaced SCGMMs and then minimized using the multi-label graph cut algorithm, thus leading to both the segmentation and tracking results of the objects with occlusion. Experimental validation of the proposed method is performed and presented on several video sequences. [All rights reserved Elsevier].
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/5016
Collection光电探测与信号处理研究室(五室)
Corresponding AuthorMingjun Wu
Affiliation中国科学院光电技术研究所
Recommended Citation
GB/T 7714
Mingjun Wu,Xianrong Peng,Qiheng Zhang,et al. Segmenting and tracking multiple objects under occlusion using multi-label graph cut[J]. Computers and Electrical Engineering,2010,36(5):927-934.
APA Mingjun Wu,Xianrong Peng,Qiheng Zhang,&Rujin Zhao.(2010).Segmenting and tracking multiple objects under occlusion using multi-label graph cut.Computers and Electrical Engineering,36(5),927-934.
MLA Mingjun Wu,et al."Segmenting and tracking multiple objects under occlusion using multi-label graph cut".Computers and Electrical Engineering 36.5(2010):927-934.
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