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Paper Detail

Paper IDARS-3.5
Paper Title SILHOUETTE-BASED VIEW-EMBEDDINGS FOR GAIT RECOGNITION UNDER MULTIPLE VIEWS
Authors Tianrui Chai, Xinyu Mei, Annan Li, Yunhong Wang, Beihang University, China
SessionARS-3: Image and Video Biometric Analysis
LocationArea H
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Biometric Analysis
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Gait recognition under multiple views is an important computer vision and pattern recognition task. In the emerging convolutional neural network based approaches, the information of view angle is ignored to some extent. Instead of direct view estimation and training view-specific recognition models, we propose a compatible framework that can embed view information into existing architectures of gait recognition. The embedding is simply achieved by a selective projection layer. Experimental results on two large public datasets show that the proposed framework is very effective.