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ShanghaiTech University Knowledge Management System
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations | |
2024-03-25 | |
会议录名称 | PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE |
ISSN | 2159-5399 |
卷号 | 38 |
期号 | 2 |
页码 | 1600-1608 |
发表状态 | 已发表 |
DOI | 10.1609/aaai.v38i2.27926 |
摘要 | Existing gait recognition benchmarks mostly include minor clothing variations in the laboratory environments, but lack persistent changes in appearance over time and space. In this paper, we propose the first in-the-wild benchmark CCGait for cloth-changing gait recognition, which incorporates diverse clothing changes, indoor and outdoor scenes, and multi-modal statistics over 92 days. To further address the coupling effect of clothing and viewpoint variations, we propose a hybrid approach HybridGait that exploits both temporal dynamics and the projected 2D information of 3D human meshes. Specifically, we introduce a Canonical Alignment Spatial-Temporal Transformer (CA-STT) module to encode human joint position-aware features, and fully exploit 3D dense priors via a Silhouette-guided Deformation with 3D-2D Appearance Projection (SilD) strategy. Our contributions are twofold: we provide a challenging benchmark CCGait that captures realistic appearance changes across an expanded and space, and we propose a hybrid framework HybridGait that outperforms prior works on CCGait and Gait3D benchmarks. Our project page is available at https://github.com/HCVLab/HybridGait. © 2024, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. |
会议录编者/会议主办者 | Association for the Advancement of Artificial Intelligence |
关键词 | Pattern recognition Coupling effect Gait recognition Human joints Hybrid approach Hybrid framework Laboratory environment Multi-modal Outdoor scenes Spatial temporals Temporal dynamics |
会议名称 | 38th AAAI Conference on Artificial Intelligence, AAAI 2024 |
会议地点 | Vancouver, BC, Canada |
会议日期 | February 20, 2024 - February 27, 2024 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
出版者 | Association for the Advancement of Artificial Intelligence |
EI入藏号 | 20241515863950 |
EI主题词 | Gait analysis |
EISSN | 2374-3468 |
EI分类号 | 461.3 Biomechanics, Bionics and Biomimetics |
原始文献类型 | Conference article (CA) |
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/364700 |
专题 | 信息科学与技术学院_PI研究组_石野组 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_许岚组 信息科学与技术学院_PI研究组_马月昕 信息科学与技术学院_PI研究组_汪婧雅组 |
通讯作者 | Wang, Jingya |
作者单位 | 1.ShanghaiTech University, China 2.Fudan University, China |
第一作者单位 | 上海科技大学 |
通讯作者单位 | 上海科技大学 |
第一作者的第一单位 | 上海科技大学 |
推荐引用方式 GB/T 7714 | Dong, Yilan,Yu, Chunlin,Ha, Ruiyang,et al. HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations[C]//Association for the Advancement of Artificial Intelligence:Association for the Advancement of Artificial Intelligence,2024:1600-1608. |
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