• DocumentCode
    1803421
  • Title

    A method for Multi-Cameras Human Tracking Based on Reverse Epipolar Line Geometry

  • Author

    Hua-wei Pan ; Yong Li ; Chun-ming Gao ; Yuan Lei

  • Author_Institution
    School of Information Science and Engineering, Hunan University, ChangSha, China
  • fYear
    2013
  • fDate
    1-8 Jan. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In human body motion tracking research, both the tracking precision and self-occlusion are difficult parts for researchers. This paper proposes a multi-camera human-tracking method on the basis of reverse epipolar Geometry, and this method unifies reverse epipolar Geometry,the data association,the multi-view geometry relations,the Kalman filtering and epipolar Geometry equation and etc. to track the motion path of human body. The experiment indicates that this method can track body motion effectively and obtain 3D reconstruction and has solved the self-occlusion to some extent.
  • Keywords
    Computational modeling; Educational institutions; Geometry; Image reconstruction; Kalman filters; Skeleton; Tracking; motion capture; motion tracking; reverse epipolar line Geometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference Anthology, IEEE
  • Conference_Location
    China
  • Type

    conf

  • DOI
    10.1109/ANTHOLOGY.2013.6784877
  • Filename
    6784877