May 2, 2024, 4:45 a.m. | Lei Wang, Bo Liu, Yinchi Ma, Fangfang Liang, Nawei Guo

cs.CV updates on arXiv.org arxiv.org

arXiv:2311.11210v2 Announce Type: replace
Abstract: Gait recognition has achieved promising advances in controlled settings, yet it significantly struggles in unconstrained environments due to challenges such as view changes, occlusions, and varying walking speeds. Additionally, efforts to fuse multiple modalities often face limited improvements because of cross-modality incompatibility, particularly in outdoor scenarios. To address these issues, we present a multi-modal Hierarchy in Hierarchy network (HiH) that integrates silhouette and pose sequences for robust gait recognition. HiH features a main branch that …

abstract advances arxiv challenges cs.cv environments face improvements modal multi-modal multiple network recognition type view walking

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