Gait Recognition Based on Integral Outline

被引：0
|
作者：
Guan, Ming [1 ]
Lv, Fang [1 ]
机构：
[1] Inner Mongolia Univ Technol, Hohhot, Peoples R China
来源：
EIGHTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2016) | 2017年 / 10225卷
关键词：
Gait recognition; method of model; feature extraction;
D O I：
10.1117/12.2266143
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Biometric identification technology replaces traditional security technology, which has become a trend, and gait recognition also has become a hot spot of research because its feature is difficult to imitate and theft. This paper presents a gait recognition system based on integral outline of human body. The system has three important aspects: the preprocessing of gait image, feature extraction and classification. Finally, using a method of polling to evaluate the performance of the system, and summarizing the problems existing in the gait recognition and the direction of development in the future.
引用
收藏
页数：5
相关论文
共 50 条
  • [1] Gait Recognition Based on Anatomical Knowledge
    Guo, Yangming
    Tian, Guangjian
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 6803 - 6806
  • [2] Recognition of Affect Based on Gait Patterns
    Karg, Michelle
    Kuehnlenz, Kolja
    Buss, Martin
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2010, 40 (04): : 1050 - 1061
  • [3] A Review of Gait Recognition Based on Vision
    Li, Mengxin
    Jiang, Jianan
    Jia, Yanwen
    Lin, Baifeng
    PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), 2016, : 823 - 827
  • [4] RGB-Based Gait Recognition With Disentangled Gait Feature Swapping
    Yoshino, Koki
    Nakashima, Kazuto
    Ahn, Jeongho
    Iwashita, Yumi
    Kurazume, Ryo
    IEEE ACCESS, 2024, 12 : 115515 - 115531
  • [5] Gait Recognition Based on Gait Energy Image and Linear Discriminant Analysis
    Xue Hongye
    Hao Zhuoya
    2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC), 2015, : 857 - 860
  • [6] Vision-Based Gait Recognition: A Survey
    Singh, Jasvinder Pal
    Jain, Sanjeev
    Arora, Sakshi
    Singh, Uday Pratap
    IEEE ACCESS, 2018, 6 : 70497 - 70527
  • [7] LLE based gait recognition
    Li, HG
    Shi, CP
    Li, XG
    PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 4516 - 4521
  • [8] 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
  • [9] Rethinking Appearance-Based Deep Gait Recognition: Reviews, Analysis, and Insights From Gait Recognition Evolution
    Li, Jingqi
    Zhang, Yuzhen
    Zeng, Yi
    Ye, Changxin
    Xu, Wenzheng
    Ben, Xianye
    Wang, Fei-Yue
    Zhang, Junping
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025,
  • [10] Context based gait recognition
    Bazazian, Shermin
    Gavrilova, Marina
    MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2012, 2012, 8407
12345