AI RESEARCH
Text-guided Feature Disentanglement for Cross-modal Gait Recognition
arXiv CS.CV
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ArXi:2605.30784v1 Announce Type: new Gait recognition is a biometric technique that identifies individuals based on their walking patterns, offering advantages in long-range, non-intrusive scenarios. However, real-world scenarios often involve heterogeneous sensing modalities such as LiDAR and RGB cameras, making LiDAR-Camera Cross-modal Gait recognition (LCCGR) a critical yet challenging task due to the substantial modality gap between 2D videos and 3D point cloud sequences.