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Incremental learning of patch-based bag of facial words representation for online face recognition in videos

  • Chao Wang*
  • , Yunhong Wang
  • , Zhaoxiang Zhang
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Video-based face recognition is a fundamental topic in image and video analysis, and presents various challenges and opportunities. In this paper, we introduce an incremental learning approach to video-based face recognition, which efficiently exploits the spatiotemporal information in videos. Face image sequences are incrementally clustered based on their descriptors. With the quantization of the facial words, representation of the face image is generated by concatenating the histograms from regions. In the online recognition, a temporal matrix and a voting algorithm are employed to judge a face video's identity. The proposed method achieves a 100% recognition rate performed on the Honda/UCSD database, and gives near realtime feedback. Experimental results demonstrate the effectiveness and flexibility of our proposed method.

源语言英语
主期刊名Advances in Multimedia Information Processing, PCM 2012 - 13th Pacific-Rim Conference on Multimedia, Proceedings
1-9
页数9
DOI
出版状态已出版 - 2012
活动13th Pacific-Rim Conference on Multimedia, PCM 2012 - Singapore, 新加坡
期限: 4 12月 20126 12月 2012

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7674 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议13th Pacific-Rim Conference on Multimedia, PCM 2012
国家/地区新加坡
Singapore
时期4/12/126/12/12

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