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Paper Detail

Paper IDIFS-1.7
Paper Title MULTIMODAL GAIT RECOGNITION UNDER MISSING MODALITIES
Authors Rubén Delgado-Escaño, Francisco M. Castro, Nicolás Guil, University of Málaga, Spain; Vicky Kalogeiton, Institut Polytechnique de Paris, France; Manuel J. Marín-Jiménez, University of Córdoba, Spain
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
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Abstract Multimodal systems for gait recognition have gained a lot of attention. However, there is a clear gap in the study of missing modalities, which represents real-life scenarios where sensors fail or data get corrupted. Here, we investigate how to handle missing modalities for gait recognition. We propose a single and flexible framework that uses a variable number of input modalities. For each modality, it consists of a branch and a binary unit indicating whether the modality is available; these are gated and merged together. Finally, it generates a single and compact 'multimodal' gait signature that encodes biometric information of the input. Our framework outperforms the state of the art on TUM-GAID and extensive experiments reveal its effectiveness for handling missing modalities even in the multi-view setup of CASIA-B.