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题名:
Segmenting and tracking multiple objects under occlusion using multi-label graph cut
作者: Mingjun Wu; Xianrong Peng; Qiheng Zhang; Rujin Zhao
刊名: Computers and Electrical Engineering
出版日期: 2010
卷号: 36, 期号:5, 页码:927-934
通讯作者: Mingjun Wu
文章类型: 期刊论文
中文摘要: 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].
英文摘要: 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].
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/5016
Appears in Collections:光电探测与信号处理研究室(五室)_期刊论文

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作者单位: 中国科学院光电技术研究所

Recommended Citation:
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.
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