Gait Recognition for Saudi Costume Using Kinect Skeletal Tracking

被引：0
|
作者：
Owaidah, Ehsan M. [1 ]
Aloufi, Khalid S. [1 ]
Alkhateeb, Jawad H. [1 ]
机构：
[1] Taibah Univ, Comp Sci Dept, CCSE, Medina, Saudi Arabia
来源：
2019 2ND INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS & INFORMATION SECURITY (ICCAIS) | 2019年
关键词：
gait recognition; biometric system; Kinect sensor; KNN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Gait is a cutting-edge biometric for recognizing people. Gait data can be captured reliably even from long distances, and it is difficult to cover up or copy. In this paper, we have explored the use of Kinect for gait identification of Saudi persons who are wearing thobe or abaya. These garments hide most of the joints and so gait recognition becomes a challenge. Our algorithm uses Kinect to identify the top three joints that could give the best identification results and then uses them for gait recognition. Features used are the Y coordinates of joints and classifier used is K Nearest Neighbor.
引用
收藏
页数：5
相关论文
共 50 条
  • [1] A Framework for Saudi Uniform Gait Recognition Based on Kinect Skeletal Tracking
    Alkhateeb, Jawad H.
    Owaidah, Ehsan
    Turani, Aiman
    Marie, Rashiq
    Amro, Aladdein
    Mazhar, Ahmad A.
    [J]. INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2024, 21 (02) : 271 - 279
  • [2] Command Recognition by Using Skeletal Tracking Based on Kinect Sensor
    Akyildiz, Cagri
    Saraydemir, Safak
    [J]. 2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU), 2016, : 2061 - 2064
  • [3] Evaluation of different feature sets for gait recognition using skeletal data from Kinect
    Dikovski, Bojan
    Madjarov, Gjorgji
    Gjorgjevikj, Dejan
    [J]. 2014 37TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2014, : 1304 - 1308
  • [4] Development of Matlab Kinect Skeletal Tracking System (MKSTS) for Gait Analysis
    Abiddin, Wan Zharfan Wan Zainal
    Jailani, R.
    Omar, Abdul Rahman
    Yassin, Ihsan M.
    [J]. 2016 IEEE SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS (ISCAIE), 2016, : 216 - 220
  • [5] Rotation and Scale Invariant Posture Recognition using Microsoft Kinect Skeletal Tracking Feature
    Monir, Samiul
    Rubya, Sabirat
    Ferdous, Hasan Shahid
    [J]. 2012 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA), 2012, : 404 - 409
  • [6] A framework for gait-based recognition using Kinect
    Kastaniotis, Dimitris
    Theodorakopoulos, Ilias
    Theoharatos, Christos
    Economou, George
    Fotopoulos, Spiros
    [J]. PATTERN RECOGNITION LETTERS, 2015, 68 : 327 - 335
  • [7] Gait recognition using fuzzy ontologies and Kinect sensor data
    Huitzil, Ignacio
    Dranca, Lacramioara
    Bernad, Jorge
    Bobillo, Fernando
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2019, 113 : 354 - 371
  • [8] Walking in Colors: Human Gait Recognition Using Kinect and CBIR
    Milovanovic, Milos
    Minovic, Miroslav
    Starcevic, Dusan
    [J]. IEEE MULTIMEDIA, 2013, 20 (04) : 28 - 36
  • [9] Review on Current Methods of Gait Analysis and Recognition using Kinect
    Sahak, Rohilah
    Zakaria, Nur Khalidah
    Tahir, Nooritawati Md.
    Yassin, Ahmad Ihsan Mohd
    Jailani, Rozita
    [J]. 2019 IEEE 15TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2019), 2019, : 229 - 234
  • [10] Gait recognition based on kinect sensor
    Ahmed, Mohammed
    Al-Jawad, Naseer
    Sabir, Azhin
    [J]. REAL-TIME IMAGE AND VIDEO PROCESSING 2014, 2014, 9139
12345