A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos

doi:10.1016/j.patcog.2016.10.022

	A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos
	Wu, Baoyuan 1,2; Hu, Bao-Gang1 ; Ji, Qiang 3
发表期刊	PATTERN RECOGNITION
	2017-04-01
卷号	64 期号:2 页码:361-373
文章类型	Article
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.
关键词	Face Clustering Face Tracking Coupled Hidden Markov Random Field
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.patcog.2016.10.022
收录类别	SCI
语种	英语
项目资助者	China Scholarship Council (CSC) ; CSC ; RPI ; US National Science Foundation (NSF)(1145152) ; National Natural Science Foundation of China (NSFC)(61273196 ; 61573348)
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000392682400029
引用统计	被引频次：22[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/14363
专题	多模态人工智能系统全国重点实验室_多媒体计算
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
第一作者单位	模式识别国家重点实验室
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.

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