2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDIFS-1.6
Paper Title MULTI-SCALE TEMPORAL INFORMATION EXTRACTOR FOR GAIT RECOGNITION
Authors Beibei Lin, Shunli Zhang, Yu Liu, Shengdi Qin, Beijing Jiaotong University, China
SessionIFS-1: Biometrics
LocationArea K
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Information Forensics and Security: Biometrics
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Gait recognition is one of the most important biometric technologies and 3D convolutional neural networks (CNNs) has achieved great success in this field. However, most existing gait recognition frameworks based on 3D CNNs only extract gait features from a single temporal scale, which may not pays enough attention to the gait information in different scales. To solve this problem, we propose a novel multi-scale temporal information extractor to aggregate temporal information from different scales and then represent gait features comprehensively. The small-temporal-scale branch extracts the temporal features from the adjacent frames, which contains the information of slow changes, while the larger-temporal-scale one is used to capture the rapid gait changes. Experiments demonstrate that the proposed method outperforms most existing gait recognition methods on CASIA-B and Outdoor-Gait datasets.