A concise tutorial on human motion tracking and recognition with Microsoft Kinect

被引：26
|
作者：
Zhao, Wenbing [1 ]
机构：
[1] Cleveland State Univ, Dept Elect Engn & Comp Sci, Cleveland, OH 44115 USA
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2016年 / 59卷 / 09期
关键词：
Microsoft Kinect; depth camera; human motion tracking and recognition; machine learning;
D O I：
10.1007/s11432-016-5604-y
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper provides a concise tutorial on the Microsoft Kinect technology and the state of art research on human motion tracking and recognition with Microsoft Kinect. A pre-requisite for human motion recognition is feature extraction. There are two types of feature extraction methods: skeleton joint based, and depth/color image based. Given a set of feature vectors, a motion could be recognized using machine learning, direct comparison, or rule-based methods. We also outline future research directions on the Kinect technology.
引用
收藏
页数：5
相关论文
共 50 条
  • [21] American Sign Language Alphabet Recognition Using Microsoft Kinect
    Dong, Cao
    Leu, Ming C.
    Yin, Zhaozheng
    2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2015,
  • [22] Yoga Posture Recognition By Detecting Human Joint Points In Real Time Using Microsoft Kinect
    Islam, Muhammad Usama
    Mahmud, Hasan
    Bin Ashraf, Faisal
    Hossain, Iqbal
    Hasan, Md. Kamrul
    2017 IEEE REGION 10 HUMANITARIAN TECHNOLOGY CONFERENCE (R10-HTC), 2017, : 668 - 673
  • [23] Shape and Motion Features Approach for Activity Tracking and Recognition from Kinect Video Camera
    Jalal, Ahmad
    Kamal, Shaharyar
    Kim, Daijin
    2015 IEEE 29TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS WAINA 2015, 2015, : 445 - 450
  • [24] Emotion recognition using Kinect motion capture data of human gaits
    Li, Shun
    Cui, Liqing
    Zhu, Changye
    Li, Baobin
    Zhao, Nan
    Zhu, Tingshao
    PEERJ, 2016, 4
  • [25] Motion recognition based on Kinect for human-computer intelligent interaction
    Pang, Xun
    Liang, Bin
    2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS AND CONTROL ENGINEERING (ISPECE 2018), 2019, 1187
  • [26] The Design and Initial Calibration of an Optical Tracking System Using the Microsoft Kinect
    Noonan, Philip J.
    Cootes, Tim F.
    Hallettt, William A.
    Hinz, Rainer
    2011 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2011, : 3614 - 3617
  • [27] Ground Tracking Using Microsoft Kinect Sensor for Ground Penetrating Radar
    Luke, Robert H.
    Cumo, Mark A.
    DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XVII, 2012, 8357
  • [28] Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect
    Wang, Qifei
    Kurillo, Gregorij
    Ofli, Ferda
    Bajcsy, Ruzena
    2015 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2015), 2015, : 380 - 389
  • [29] Automated Tracking and Quantification of Autistic Behavioral Symptoms Using Microsoft Kinect
    Kang, Joon Young
    Kim, Ryunhyung
    Kim, Hyunsun
    Kang, Yeonjune
    Hahn, Susan
    Fu, Zhengrui
    Khalid, Mamoon I.
    Schenck, Enja
    Thesen, Thomas
    MEDICINE MEETS VIRTUAL REALITY 22, 2016, 220 : 167 - 170
  • [30] Microsoft Kinect Sensor for Real-time Color Tracking Robot
    Clark, Matthew
    Feldpausch, David
    Tewolde, Girma S.
    2014 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT), 2014, : 416 - 421
12345