A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos
文献类型：期刊论文
| 作者 | Wu, Baoyuan1,2; Hu, Bao-Gang1 ; Ji, Qiang3
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2017-04-01 |
| 卷号 | 64期号:2页码:361-373 |
| 关键词 | Face Clustering Face Tracking Coupled Hidden Markov Random Field |
| DOI | 10.1016/j.patcog.2016.10.022 |
| 文献子类 | Article |
| 英文摘要 | Face clustering and face tracking are two areas of active research in automatic facial video processing. They, however, have long been studied separately, despite the inherent link between them. In this paper, we propose to perform simultaneous face clustering and face tracking from real world videos. The motivation for the proposed research is that face clustering and face tracking can provide useful information and constraints to each other, thus can bootstrap and improve the performances of each other. To this end, we introduce a Coupled Hidden Markov Random Field (CHMRF) to simultaneously model face clustering, face tracking, and their interactions. We provide an effective algorithm based on constrained clustering and optimal tracking for the joint optimization of cluster labels and face tracking. We demonstrate significant improvements over state-ofthe-art results in face clustering and tracking on several videos. |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000392682400029 |
| 资助机构 | China Scholarship Council (CSC) ; CSC ; RPI ; US National Science Foundation (NSF)(1145152) ; National Natural Science Foundation of China (NSFC)(61273196 ; 61573348) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14363]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.King Abdullah Univ Sci & Technol, Visual Comp Ctr, Thuwal 239556900, Saudi Arabia 3.Rensselaer Polytech Inst, Dept Elect Comp & Syst Engn, Troy, NY 12180 USA |
| 推荐引用方式 GB/T 7714 | Wu, Baoyuan,Hu, Bao-Gang,Ji, Qiang. A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos[J]. PATTERN RECOGNITION,2017,64(2):361-373. |
| APA | Wu, Baoyuan,Hu, Bao-Gang,&Ji, Qiang.(2017).A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos.PATTERN RECOGNITION,64(2),361-373. |
| MLA | Wu, Baoyuan,et al."A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos".PATTERN RECOGNITION 64.2(2017):361-373. |
入库方式： OAI收割
来源：自动化研究所
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