摘要
步态识别作为一种生物识别技术,在实际生活中通常被认为是一项检索任务。然而,受限于现有雷达步态识别数据集的规模,目前的研究主要针对分类任务且局限于单一行走视角和相同穿着条件,这限制了基于雷达的步态识别在实际场景中的应用。该文公开了一个多视角多穿着条件下的雷达步态识别数据集,该数据集使用毫米波雷达采集了121位受试者在多种穿着条件下沿不同视角行走的时频谱图数据,每位受试者共采集8个视角,每个视角采集10组,其中6组为正常穿着,2组为穿大衣,2组为挎包。同时,该文提出一种基于检索任务的雷达步态识别方法,并在公布数据集上进行了实验,实验结果可以作为基准性能指标,方便更多学者在此数据集上开展进一步研究。
As a biometric technology,gait recognition is usually considered a retrieval task in real life.However,because of the small scale of the existing radar gait recognition dataset,the current studies mainly focus on classification tasks and only consider the situation of a single walking view and the same wearing condition,limiting the practical application of radar-based gait recognition.This paper provides a radar gait recognition dataset under multi-view and multi-wearing conditions;the dataset uses millimeter-wave radar as a sensor to collect the time-frequency spectrogram data of 121 subjects walking along views under multiple wearing conditions.Eight views were collected for each subject,and ten sets were collected for each view.Six of the ten sets are dressed normally,two are dressed in coats,and the last two are carrying bags.Meanwhile,this paper proposes a method for radar gait recognition based on retrieval tasks.Experiments are conducted on this dataset,and the experimental results can be used as a benchmark to facilitate further research by related scholars on this dataset.
作者
杜兰
陈晓阳
石钰
薛世鲲
解蒙
DU Lan;CHEN Xiaoyang;SHI Yu;XUE Shikun;XIE Meng(National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China)
出处
《雷达学报（中英文）》
EI
CSCD
北大核心
2023年第4期892-905,共14页
Journal of Radars
基金
国家自然科学基金(U21B2039)。
关键词
毫米波雷达
步态识别
检索任务
多视角多穿着条件
公开数据集
Millimeter-wave radar
Gait recognition
Retrieval task
Multi-view and multi-wearing conditions
Public dataset
