April 29, 2024, 4:45 a.m. | Xiao Han, Yiming Ren, Peishan Cong, Yujing Sun, Jingya Wang, Lan Xu, Yuexin Ma

cs.CV updates on arXiv.org arxiv.org

arXiv:2211.12371v2 Announce Type: replace
Abstract: Human gait recognition is crucial in multimedia, enabling identification through walking patterns without direct interaction, enhancing the integration across various media forms in real-world applications like smart homes, healthcare and non-intrusive security. LiDAR's ability to capture depth makes it pivotal for robotic perception and holds promise for real-world gait recognition. In this paper, based on a single LiDAR, we present the Hierarchical Multi-representation Feature Interaction Network (HMRNet) for robust gait recognition. Prevailing LiDAR-based gait datasets …

abstract applications arxiv cs.cv enabling environment forms free healthcare homes human identification integration lidar media multimedia patterns perception pivotal recognition robotic scale security smart smart homes through type via walking world

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