• DocumentCode
    3406314
  • Title

    Partial motion trajectory grouping through rooted arborescence

  • Author

    Fan Chen ; De Vleeschouwer, C.

  • Author_Institution
    Sch. of Inf. Sci., Japan Adv. Insti. of Sci. & Tech., Nomi, Japan
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    1337
  • Lastpage
    1340
  • Abstract
    A novel method is presented for trackingmultiple deformable objects in a multiview scenario. We avoid applying fixed constraints of object sizes for object isolation, but guide the splitting/merging of objects by grouping partial motion trajectories extracted from the occupancy status of objects in the homography ground-plane. We treat this clustering task as solving a rooted arborescence problem, and investigate the performance of the proposed method by experimental results.
  • Keywords
    feature extraction; image motion analysis; object tracking; pattern clustering; clustering task; fixed-object size constraints; homography ground-plane; multiple deformable object tracking; multiview scenario; object isolation; object merging; object occupancy status; object splitting; partial motion trajectory grouping; rooted arborescence problem; Cameras; Feature extraction; Object tracking; Trajectory; Videos; Windows; Multi-View Tracking; Rooted Arborescence Problem; Trajectory Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467115
  • Filename
    6467115