Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2018)

引用 504|浏览212
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摘要
Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehensive framework based on Convolutional Neural Networks (CNN) to overcome challenges in video-based face recognition (VFR). First, to learn blur-robust face representations, we artificially blur training data composed of clear still images to account f...
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关键词
Videos,Face,Face recognition,Feature extraction,Training data,Training,Surveillance
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