• DocumentCode
    248538
  • Title

    A novel solution for multi-camera object tracking

  • Author

    Weihua Chen ; Lijun Cao ; Xiaotang Chen ; Kaiqi Huang

  • Author_Institution
    Center for Res. on Intell. Perception & Comput., Inst. of Autom., Beijing, China
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    2329
  • Lastpage
    2333
  • Abstract
    The traditional multi-camera object tracking contains two steps: single camera object tracking (SCT) and inter-camera object tracking (ICT). The ICT performance strongly relies on the great results of SCT. In practice, most of current SCT methods are unperfect and products much more fragments. In this paper, a novel solution using a global tracklet association is proposed, which can provide a good ICT performance when the SCT results are not perfect. The proposed solution is also available in non-overlapping views through a new tracklet representation and experiments shows the effectiveness of the proposed novel solution in real scene.
  • Keywords
    cameras; image fusion; object tracking; ICT; SCT methods; global tracklet association; intercamera object tracking; multicamera object tracking; single camera object tracking; tracklet representation; Cameras; Legged locomotion; Object tracking; Target tracking; Trajectory; Uncertainty; Multi-camera object tracking; PMCSHR; global tracklet association;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025472
  • Filename
    7025472