AI RESEARCH
Combo-Gait: Unified Transformer Framework for Multi-Modal Gait Recognition and Attribute Analysis
arXiv CS.LG
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ArXi:2510.10417v2 Announce Type: replace-cross Gait recognition is an important biometric for human identification at a distance, particularly under low-resolution or unconstrained environments. Current works typically focus on either 2D representations (e.g., silhouettes and skeletons) or 3D representations (e.g., meshes and SMPLs), but relying on a single modality often fails to capture the full geometric and dynamic complexity of human walking patterns.