March 15, 2024, 4:46 a.m. | Yuxiang Guo, Anshul Shah, Jiang Liu, Ayush Gupta, Rama Chellappa, Cheng Peng

cs.CV updates on arXiv.org arxiv.org

arXiv:2311.16497v2 Announce Type: replace
Abstract: Gait recognition holds the promise to robustly identify subjects based on walking patterns instead of appearance information. In recent years, this field has been dominated by learning methods based on two principal input representations: dense silhouette masks or sparse pose keypoints. In this work, we propose a novel, point-based Contour-Pose representation, which compactly expresses both body shape and body parts information. We further propose a local-to-global architecture, called GaitContour, to leverage this novel representation and …

abstract arxiv contour cs.cv identify information masks patterns recognition representation type walking work

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