• DocumentCode
    1791268
  • Title

    Challenge of multi-camera tracking

  • Author

    Yong Wang ; Ke Lu ; Rui Zhai

  • Author_Institution
    Coll. of Eng. & Inf. Technol., Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2014
  • fDate
    14-16 Oct. 2014
  • Firstpage
    32
  • Lastpage
    37
  • Abstract
    Multi-camera tracking is quite different from single camera tracking in mathematical principles and application scenarios, and it faces new technology and system architecture challenges. The existing theories and algorithms used in object matching, cameras calibration and topology estimation, and information fusion have been reviewed and show that the integrated application of multi techniques and multi theories is the key to solve the technology challenges. The distributed architectures of multi-camera tracking system based on camera processor and based on object agent have been compared and show that improving the computation ability of cameras and reducing the functions of control center is the key to solve the architecture challenges.
  • Keywords
    calibration; cameras; image fusion; image matching; object tracking; camera calibration; camera processor; control center function; distributed architectures; information fusion; multicamera tracking system; object agent; object matching; single camera tracking; topology estimation; Calibration; Cameras; Computer architecture; Estimation; Filtering; Object tracking; Topology; camera calibration; information fusion; multi-camera tracking; object matching; system architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2014 7th International Congress on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/CISP.2014.7003745
  • Filename
    7003745