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Found 3 papers, 1 papers with code
RealGait: Gait Recognition for Person Re-Identification
Given that our experimental results show that current gait recognition approaches designed under data collected in controlled scenarios are inappropriate for real surveillance scenarios, we propose a novel gait recognition method, called RealGait.
Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition
Gait is considered the walking pattern of human body, which includes both shape and motion cues.
Cross-View Gait Recognition With Deep Universal Linear Embeddings
Furthermore, a novel framework based on convolutional variational autoencoder and deep Koopman embedding is proposed to approximate the Koopman operators, which is used as dynamical features from the linearized embedding space for cross-view gait recognition.
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