Gait Recognition Under Different Clothing Conditions Via Deterministic Learning

被引:11
|
作者
Deng, Muqing [1 ]
Wang, Cong [2 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China
基金
中国国家自然科学基金;
关键词
Clothing; Gait recognition; Feature extraction; Legged locomotion; Training; Neural networks; Dynamics;
D O I
10.1109/JAS.2018.7511096
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Dear Editor, This letter deals with the robustness problem of gait recognition method against maximum number of clothing conditions. By selecting four kinds of time-varying silhouette features, gait dynamics underlying different individuals' gait features is effectively modeled by radial basis function (RBF) neural networks through deterministic learning. This kind of dynamics information has little sensitivity to the variance between gait patterns under different clothing conditions. In order to eliminate the effect of clothing differences, the training patterns under different clothing conditions further constitute a uniform training dataset, containing all kinds of gait dynamics under different clothing conditions. A rapid recognition scheme is presented on published gait databases. Extensive experiments demonstrate the efficacy of the proposed method.
引用
收藏
页码:1530 / 1532
页数:3
相关论文
共 50 条
  • [21] Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning
    Wei Zeng
    Limin Ma
    Chengzhi Yuan
    Fenglin Liu
    Qinghui Wang
    Ying Wang
    Yu Zhang
    Artificial Intelligence Review, 2019, 52 : 449 - 467
  • [22] Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning
    Zeng, Wei
    Ma, Limin
    Yuan, Chengzhi
    Liu, Fenglin
    Wang, Qinghui
    Wang, Ying
    Zhang, Yu
    ARTIFICIAL INTELLIGENCE REVIEW, 2019, 52 (01) : 449 - 467
  • [23] Cloth-Imbalanced Gait Recognition via Hallucination
    Hou, Saihui
    Huang, Panjian
    Liu, Xu
    Cao, Chunshui
    Huang, Yongzhen
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (07) : 5665 - 5676
  • [24] Electrocardiogram (ECG) pattern modeling and recognition via deterministic learning
    Dong X.
    Wang C.
    Hu J.
    Ou S.
    Control Theory and Technology, 2015, 12 (04): : 333 - 344
  • [25] Electrocardiogram(ECG) pattern modeling and recognition via deterministic learning
    Xunde DONG
    Cong WANG
    Junmin HU
    Shanxing OU
    Control Theory and Technology, 2014, 12 (04) : 333 - 344
  • [26] ECG-based identity recognition via deterministic learning
    Dong, Xunde
    Si, Wenjie
    Huang, Weiyi
    BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT, 2018, 32 (03) : 769 - 777
  • [27] An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions
    Bukhari, Maryam
    Bajwa, Khalid Bashir
    Gillani, Saira
    Maqsood, Muazzam
    Durrani, Mehr Yahya
    Mehmood, Irfan
    Ugail, Hassan
    Rho, Seungmin
    IEEE ACCESS, 2021, 9 : 6465 - 6477
  • [28] Frontal-View Human Gait Recognition Based on Kinect Features and Deterministic Learning
    Kang, Zhongrun
    Deng, Muqing
    Wang, Cong
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 10834 - 10839
  • [29] Integral Pose Learning via Appearance Transfer for Gait Recognition
    Huang, Panjian
    Hou, Saihui
    Cao, Chunshui
    Liu, Xu
    Hu, Xuecai
    Huang, Yongzhen
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 19 : 4716 - 4727
  • [30] Cross-View Gait Recognition by Discriminative Feature Learning
    Zhang, Yuqi
    Huang, Yongzhen
    Yu, Shiqi
    Wang, Liang
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 29 : 1001 - 1015