A MARKERLESS MOTION CAPTURE SYSTEM WITH AUTOMATIC SUBJECT-SPECIFIC BODY MODEL ACQUISITION AND ROBUST POSE TRACKING FROM 3D DATA

被引:0
|
作者
Zhang, Zheng [1 ]
Seah, Hock Soon [1 ]
Quah, Chee Kwang [2 ]
Sun, Jixiang [3 ]
机构
[1] Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore
[2] Nanyang Technol Univ, Inst Media Innovat, Singapore, Singapore
[3] NUDT, Sch Elect Sci & Engn, Changsha, Peoples R China
来源
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年
关键词
Model Acquistion; Pose Tracking; Volumetric Reconstruction; Scene Flow;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present a markerless system for recovering 3D full-body motion from multiple image sequences. Our approach supports robust pose tracking from 3D data as well as automatic body model acquisition. For initialization, a subject-specific voxel body model that fits well to the shape of the subject being tracked is automatically created from the beginning volume. Then for pose recovery, the voxel body model is matched to the image features via a hierarchical pose search method. We use a new particle based stochastic search algorithm and introduce a robust metric, which is incorporated with joint limits, physical constraints and fuses multiple 3D cues involving volume spatial and 3D scene flow motion information. Results on several complex multiple sequences show the robustness and effectiveness of our approach.
引用
收藏
页码:525 / 528
页数:4
相关论文
共 50 条
  • [1] Automatic Generation of a Subject-Specific Model for Accurate Markerless Motion Capture and Biomechanical Applications
    Corazza, Stefano
    Gambaretto, Emiliano
    Mundermann, Lars
    Andriacchi, Thomas P.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2010, 57 (04) : 806 - 812
  • [2] Markerless 3D Facial Motion Capture System
    Hwang, Youngkyoo
    Kim, Jung-Bae
    Feng, Xuetao
    Bang, Won-Chul
    Rhee, Taehyun
    Kim, James D. K.
    Kim, ChangYeong
    ENGINEERING REALITY OF VIRTUAL REALITY 2012, 2012, 8289
  • [3] A review of 3D human pose estimation algorithms for markerless motion capture
    Desmarais, Yann
    Mottet, Denis
    Slangen, Pierre
    Montesinos, Philippe
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2021, 212
  • [4] Automatic reconstruction of 3D human motion pose from uncalibrated monocular video sequences based on markerless human motion tracking
    Zou, Beiji
    Chen, Shu
    Shi, Cao
    Providence, Umugwaneza Marie
    PATTERN RECOGNITION, 2009, 42 (07) : 1559 - 1571
  • [5] A Combined Generalized and Subject-Specific 3D Head Pose Estimation
    Tan, David Joseph
    Tombari, Federico
    Navab, Nassir
    2015 INTERNATIONAL CONFERENCE ON 3D VISION, 2015, : 500 - 508
  • [6] A Markerless 3D Computerized Motion Capture System Incorporating a Skeleton Model for Monkeys
    Nakamura, Tomoya
    Matsumoto, Jumpei
    Nishimaru, Hiroshi
    Bretas, Rafael Vieira
    Takamura, Yusaku
    Hori, Etsuro
    Ono, Taketoshi
    Nishijo, Hisao
    PLOS ONE, 2016, 11 (11):
  • [7] Gait Recognition from Markerless 3D Motion Capture
    Rainey, James
    Bustard, John
    McLoone, Sean
    2019 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB), 2019,
  • [8] AUTOMATIC GENERATION OF A SUBJECT SPECIFIC UPPER BODY MODEL FROM MOTION DATA
    Lura, Derek
    Carey, Stephanie
    Dubey, Rajiv
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION 2011, VOL 2, 2012, : 587 - 593
  • [9] Markerless Multiview Motion Capture with 3D Shape Model Adaptation
    Fechteler, P.
    Hilsmann, A.
    Eisert, P.
    COMPUTER GRAPHICS FORUM, 2019, 38 (06) : 91 - 109
  • [10] Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture
    Tome, Denis
    Toso, Matteo
    Agapito, Lourdes
    Russell, Chris
    2018 INTERNATIONAL CONFERENCE ON 3D VISION (3DV), 2018, : 474 - 483