{
  "id": 7231,
  "url": "https://arxiv.org/abs/2603.14189v1",
  "title": "Walking Further: Semantic-aware Multimodal Gait Recognition Under Long-Range Conditions",
  "summary": "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",
  "authors": "Zhiyang Lu, Wen Jiang, Tianren Wu, Zhichao Wang, Changwang Zhang, Siqi Shen et al.",
  "category": "research",
  "topics": "privacy-surveillance,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-15T02:32:27.000Z",
  "fetched_at": "2026-07-14T16:33:03.574Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7231",
  "original_url": "https://arxiv.org/abs/2603.14189v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}