EventGait uses event cameras for robust gait recognition

Researchers have developed EventGait, a novel dual-stream framework for gait recognition using event cameras. This approach processes motion and shape information separately, leveraging a Mixture of Spiking Experts for dynamic perception and Cross-modal Structure Alignment for shape representation. To facilitate research, they also introduced two new benchmarks, SUSTech1K-E and CCGR-Mini-E, and a synthesis pipeline for event-based gait data. EventGait demonstrates superior performance in low-light conditions compared to traditional camera-based methods and sets a new state-of-the-art on event-based gait recognition benchmarks. AI

IMPACT Enhances biometric security by enabling robust identification in challenging low-light environments.

RANK_REASON The cluster contains a research paper detailing a new method and dataset for gait recognition. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• CCGR-Mini-E
• Cross-modal Structure Alignment
• event cameras
• EventGait
• Mixture of Spiking Experts
• SUSTech1K-E

• paper
• other

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