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pro vyhledávání: '"Shen, Chuanfu"'
Autor:
Fan, Chao, Hou, Saihui, Liang, Junhao, Shen, Chuanfu, Ma, Jingzhe, Jin, Dongyang, Huang, Yongzhen, Yu, Shiqi
Gait recognition, a rapidly advancing vision technology for person identification from a distance, has made significant strides in indoor settings. However, evidence suggests that existing methods often yield unsatisfactory results when applied to ne
Externí odkaz:
http://arxiv.org/abs/2405.09138
Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different sensors in order to adapt to various environments. A more practical app
Externí odkaz:
http://arxiv.org/abs/2404.04120
Publikováno v:
AAAI2024
Gait datasets are essential for gait research. However, this paper observes that present benchmarks, whether conventional constrained or emerging real-world datasets, fall short regarding covariate diversity. To bridge this gap, we undertake an arduo
Externí odkaz:
http://arxiv.org/abs/2312.14404
The choice of the representations is essential for deep gait recognition methods. The binary silhouettes and skeletal coordinates are two dominant representations in recent literature, achieving remarkable advances in many scenarios. However, inheren
Externí odkaz:
http://arxiv.org/abs/2311.13444
Publikováno v:
published on CVPR2023
Video-based gait recognition has achieved impressive results in constrained scenarios. However, visual cameras neglect human 3D structure information, which limits the feasibility of gait recognition in the 3D wild world. Instead of extracting gait f
Externí odkaz:
http://arxiv.org/abs/2211.10598
Gait recognition is one of the most critical long-distance identification technologies and increasingly gains popularity in both research and industry communities. Despite the significant progress made in indoor datasets, much evidence shows that gai
Externí odkaz:
http://arxiv.org/abs/2211.06597
Gait recognition aims to identify a person at a distance, serving as a promising solution for long-distance and less-cooperation pedestrian recognition. Recently, significant advancements in gait recognition have achieved inspiring success in many ch
Externí odkaz:
http://arxiv.org/abs/2206.13732
Most gait recognition methods exploit spatial-temporal representations from static appearances and dynamic walking patterns. However, we observe that many part-based methods neglect representations at boundaries. In addition, the phenomenon of overfi
Externí odkaz:
http://arxiv.org/abs/2203.04038
Gait is one of the most promising biometrics to identify individuals at a long distance. Although most previous methods have focused on recognizing the silhouettes, several end-to-end methods that extract gait features directly from RGB images perfor
Externí odkaz:
http://arxiv.org/abs/2203.03972
Publikováno v:
In Transportation Research Part E August 2024 188
