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

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• 作者：Baoyuan Wu^a ; ^b ; ^{wubaoyuan1987@gmail.com}Author Vitae ; Bao-Gang Hu^a ; ^{bghu@nlpr.ia.ac.cn}Author Vitae ; Qiang Ji^c ; ^{qji@ecse.rpi.edu}Author Vitae
• 关键词：Face clustering ; Face tracking ; Coupled Hidden Markov Random Field
• 刊名：Pattern Recognition
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：64
• 期：Complete
• 页码：361-373
• 全文大小：802 K
• 卷排序：64

文摘

A systematic approach to jointly solving two related tasks, i.e., face clustering and face tracklet linking in videos. Multiple types of prior knowledge extracted from videos. A novel and efficient method for constraint propagation, to augment the initial constraints extracted from videos. A Coupled Hidden Markov Random Field model to formulate clustering and tracklet linking together, and to incorporate different types of dependencies.