Segmenting and tracking multiple objects under occlusion using multi-label graph cut
文献类型：期刊论文
| 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 |
| 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 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/5016]  |
| 专题 | 光电技术研究所_光电探测与信号处理研究室（五室） |
| 作者单位 | 中国科学院光电技术研究所 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：光电技术研究所
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