Human motion capture data segmentation based on geometric features

被引:0
作者
Yang, Yue-Dong [1 ]
Wang, Li-Li [1 ]
Hao, Ai-Min [1 ]
Feng, Chun-Sheng [1 ]
机构
[1] School of Computer Science and Engineering, Beihang University, Beijing 100083, China
来源
Xitong Fangzhen Xuebao / Journal of System Simulation | 2007年 / 19卷 / 10期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2229 / 2234
相关论文
共 50 条
  • [31] Reordering-based Transform for Compressing Human Motion Capture Data
    Hou, Junhui
    Chau, Lap-Pui
    He, Ying
    Magnenat-Thalmann, Nadia
    2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2015, : 2740 - 2743
  • [32] Human joint motion data capture and fusion based on wearable sensors
    Hua Wang
    Autonomous Intelligent Systems, 5 (1):
  • [33] Motion capture data segmentation using Riemannian manifold learning
    Wang, Bin
    Liu, Weibin
    Xing, Weiwei
    COMPUTER ANIMATION AND VIRTUAL WORLDS, 2020, 31 (01)
  • [34] Keyframe extraction for human motion capture data based on affinity propagation
    Sun, Bin
    Kong, Dehui
    Wang, Shaofan
    Li, Jinghua
    2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON), 2018, : 107 - 112
  • [35] Controlling a marionette with human motion capture data
    Yamane, K
    Hodgins, JK
    Brown, HB
    2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2003, : 3834 - 3841
  • [36] Energy Description of Human Motion Capture Data
    Feng, Lin
    Sun, Tao
    Pan, Xiaowen
    Shen, Xiao
    ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS, 2008, : 1454 - 1457
  • [37] Measuring motion capture data quality for data driven human motion synthesis
    Manns, Martin
    Otto, Michael
    Mauer, Markus
    RESEARCH AND INNOVATION IN MANUFACTURING: KEY ENABLING TECHNOLOGIES FOR THE FACTORIES OF THE FUTURE - PROCEEDINGS OF THE 48TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2016, 41 : 945 - 950
  • [38] Human Motion Attitude Tracking Method Based on Vicon Motion Capture Under Big Data
    Liu, Ze-guo
    ADVANCED HYBRID INFORMATION PROCESSING, ADHIP 2019, PT I, 2019, 301 : 383 - 391
  • [39] Human Motion Segmentation by Data Point Classification
    Lin, Jonathan Feng-Shun
    Joukov, Vladimir
    Kulic, Dana
    2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 9 - 13
  • [40] Deep Learning of Spatio-Temporal Features with Geometric-based Moving Point Detection for Motion Segmentation
    Lin, Tsung-Han
    Wang, Chieh-Chih
    2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2014, : 3058 - 3065