Tracking People Interacting with Objects

被引:17
|
作者
Kjellstrom, Hedvig [1 ]
Kragic, Danica [1 ]
Black, Michael J. [2 ]
机构
[1] KTH, CVAP CAS, CSC, S-11422 Stockholm, Sweden
[2] Brown Univ, Dept Comp Sci, Providence, RI 02912 USA
关键词
MOTION CAPTURE;
D O I
10.1109/CVPR.2010.5540140
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
While the problem of tracking 3D human motion has been widely studied, most approaches have assumed that the person is isolated and not interacting with the environment. Environmental constraints, however, can greatly constrain and simplify the tracking problem. The most studied constraints involve gravity and contact with the ground plane. We go further to consider interaction with objects in the environment. In many cases, tracking rigid environmental objects is simpler than tracking high-dimensional human motion. When a human is in contact with objects in the world, their poses constrain the pose of body, essentially removing degrees of freedom. Thus what would appear to be a harder problem, combining object and human tracking, is actually simpler. We use a standard formulation of the body tracking problem but add an explicit model of contact with objects. We find that constraints from the world make it possible to track complex articulated human motion in 3D from a monocular camera.
引用
收藏
页码:747 / 754
页数:8
相关论文
共 50 条
  • [1] Tracking People and Their Objects
    Baumgartner, Tobias
    Mitzel, Dennis
    Leibe, Bastian
    2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2013, : 3658 - 3665
  • [2] Tracking Interacting Objects Using Intertwined Flows
    Wang, Xinchao
    Turetken, Engin
    Fleuret, Francois
    Fua, Pascal
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 38 (11) : 2312 - 2326
  • [3] Tracking Connected Objects Using Interacting Shape Models
    Zea, Antonio
    Faion, Florian
    Hanebeck, Uwe D.
    2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2014,
  • [4] Tracking Interacting Objects Optimally Using Integer Programming
    Wang, Xinchao
    Tueretken, Engin
    Fleuret, Francois
    Fua, Pascal
    COMPUTER VISION - ECCV 2014, PT I, 2014, 8689 : 17 - 32
  • [5] InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild
    Shao, Yanyan
    Ye, Qi
    Luo, Wenhan
    Zhang, Kaihao
    Chen, Jiming
    2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2023, : 9079 - 9085
  • [6] Interacting segmentation and tracking of overlapping objects from an image sequence
    Kirubarajan, T
    Bar-Shalom, Y
    Pattipati, KR
    Loew, LM
    PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 1997, : 3120 - 3125
  • [7] Scalable 3D Tracking of Multiple Interacting Objects
    Kyriazis, Nikolaos
    Argyros, Antonis
    2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2014, : 3430 - 3437
  • [8] An advanced Bayesian model for the visual tracking of multiple interacting objects
    del Blanco, Carlos R.
    Jaureguizar, Fernando
    Garcia, Narciso
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2011,
  • [9] An advanced Bayesian model for the visual tracking of multiple interacting objects
    Carlos R del Blanco
    Fernando Jaureguizar
    Narciso García
    EURASIP Journal on Advances in Signal Processing, 2011
  • [10] TRACKING OF MULTIPLE INTERACTING OBJECTS USING A NOVEL PREDICTION MODEL
    Wang, Zhijie
    Zhang, Hong
    Ray, Nilanjan
    2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 869 - 872