Feb. 22, 2024, 5:46 a.m. | Yan Sun, Hu Long, Xueling Feng, Mark Nixon

cs.CV updates on arXiv.org arxiv.org

arXiv:2307.15981v2 Announce Type: replace
Abstract: Gait recognition is one of the most promising video-based biometric technologies. The edge of silhouettes and motion are the most informative feature and previous studies have explored them separately and achieved notable results. However, due to occlusions and variations in viewing angles, their gait recognition performance is often affected by the predefined spatial segmentation strategy. Moreover, traditional temporal pooling usually neglects distinctive temporal information in gait. To address the aforementioned issues, we propose a novel …

aggregation arxiv cs.cv recognition representation scale spatial temporal type

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