• DocumentCode
    247790
  • Title

    Greedy algorithm for real-time multi-object tracking

  • Author

    Tae-Ho Kim ; Changhoon Lee ; Yoo, C.D.

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    398
  • Lastpage
    402
  • Abstract
    Real-time multi-object tracking is one of the most challenging problem in computer vision. Based on integer linear programming (ILP) formulation for object tracking [1, 2], we propose the greedy algorithm for real-time multi-object tracking. The experimental result shows that the performance of the proposed algorithm is competitive to the previous state-of-the-art algorithms on off-line video data, and its running time is also sufficient for analyzing the tracks of object in real-time video data.
  • Keywords
    computer vision; greedy algorithms; integer programming; linear programming; object tracking; ILP formulation; computer vision; greedy algorithm; integer linear programming formulation; offline video data algorithm; real-time multiobject tracking; Computer vision; Conferences; Greedy algorithms; Mathematical model; Object tracking; Real-time systems; Streaming media; greedy algorithm; multi-object; real-time; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025079
  • Filename
    7025079
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=247790