中文版 | English
题名

LidarGait: Benchmarking 3D Gait Recognition with Point Clouds

作者
DOI
发表日期
2023
ISSN
1063-6919
ISBN
979-8-3503-0130-4
会议录名称
页码
1054-1063
会议日期
17-24 June 2023
会议地点
Vancouver, BC, Canada
摘要
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 features from images, this work explores precise 3D gait features from point clouds and proposes a simple yet efficient 3D gait recognition framework, termed LidarGait. Our proposed approach projects sparse point clouds into depth maps to learn the representations with 3D geometry information, which outperforms existing point-wise and camera-based methods by a significant margin. Due to the lack of point cloud datasets, we build the first large-scale LiDAR-based gait recognition dataset, SUSTech1K, collected by a LiDAR sensor and an RGB camera. The dataset contains 25,239 sequences from 1,050 subjects and covers many variations, including visibility, views, occlusions, clothing, carrying, and scenes. Extensive experiments show that (1) 3D structure information serves as a significant feature for gait recognition. (2) LidarGait outperforms existing point-based and silhouette-based methods by a significant margin, while it also offers stable cross-view results. (3) The LiDAR sensor is superior to the RGB camera for gait recognition in the outdoor environment. The source code and dataset have been made available at https://lidargait.github.io.
关键词
学校署名
其他
相关链接[IEEE记录]
收录类别
WOS记录号
WOS:001058542601035
来源库
IEEE
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10205455
引用统计
被引频次[WOS]:32
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/559162
专题工学院_计算机科学与工程系
作者单位
1.Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong
2.Department of Computer Science and Engineering, Southern University of Science and Technology
3.Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University
推荐引用方式
GB/T 7714
Chuanfu Shen,Fan Chao,Wei Wu,et al. LidarGait: Benchmarking 3D Gait Recognition with Point Clouds[C],2023:1054-1063.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可 操作
cvpr2023-shen-lidarg(3517KB)会议论文--限制开放CC BY-NC-SA
个性服务
原文链接
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
导出为Excel格式
导出为Csv格式
Altmetrics Score
谷歌学术
谷歌学术中相似的文章
[Chuanfu Shen]的文章
[Fan Chao]的文章
[Wei Wu]的文章
百度学术
百度学术中相似的文章
[Chuanfu Shen]的文章
[Fan Chao]的文章
[Wei Wu]的文章
必应学术
必应学术中相似的文章
[Chuanfu Shen]的文章
[Fan Chao]的文章
[Wei Wu]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
[发表评论/异议/意见]
暂无评论

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。