Feb. 14, 2024, 5:46 a.m. | Andy C\u{a}trun\u{a} Adrian Cosma Emilian R\u{a}doi

cs.CV updates on arXiv.org arxiv.org

Gait, an unobtrusive biometric, is valued for its capability to identify individuals at a distance, across external outfits and environmental conditions. This study challenges the prevailing assumption that vision-based gait recognition, in particular skeleton-based gait recognition, relies primarily on motion patterns, revealing a significant role of the implicit anthropometric information encoded in the walking sequence. We show through a comparative analysis that removing height information leads to notable performance degradation across three models and two benchmarks (CASIA-B and GREW). Furthermore, …

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