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Evidence record 7231 · automatically gathered

Walking Further: Semantic-aware Multimodal Gait Recognition Under Long-Range Conditions

Gait recognition is an emerging biometric technology that enables non-intrusive and hard-to-spoof human identification. However, most existing methods are confined to short-range, unimodal settings and fail to generalize to long-range and cross-distance scenarios under real-world conditions. To address this gap, we present \textbf{LRGait}, the first LiDAR-Camera multimodal benchmark designed for robust long-range gait recognition across diverse outdoor distances and environments. We further prop

Record details

Published: 15 March 2026
Source: arXiv
Category: Research
Topics: Privacy · Environment
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (15 March 2026), “Walking Further: Semantic-aware Multimodal Gait Recognition Under Long-Range Conditions,” evidence record 7231, https://ethics.ai/record/7231 (originally published by arXiv).

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