• DocumentCode
    2313835
  • Title

    Exact algorithms for non-overlapping 2-frame problem with non-partial coverage for networked robotic cameras

  • Author

    Xu, Yiliang ; Song, Dezhen ; Yi, Jingang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2010
  • fDate
    21-24 Aug. 2010
  • Firstpage
    503
  • Lastpage
    508
  • Abstract
    We report our algorithmic development on the 2-frame problem that addresses the need of coordinating two networked robotic pan-tilt-zoom (PTZ) cameras for n, (n > 2), competing rectangular observation requests. We assume the two camera frames have no overlap on their coverage. A request is satisfied only if it is fully covered by a camera frame. The satisfaction level for a given request is quantified by comparing its desirable observation resolution with that of the camera frame which fully covers it. We propose a series of exact algorithms for the solution that maximizes the overall satisfaction. Our algorithms solve the 2-frame problem in O(n2), O(n2m) and O(n3) times for fixed, m discrete and continuous camera resolution levels, respectively. We have implemented all the algorithms and compared them with the existing work.
  • Keywords
    cameras; robot vision; continuous camera resolution level; discrete camera resolution level; exact algorithm; networked robotic cameras; nonoverlapping 2-frame problem; nonpartial coverage; pan-tilt-zoom cameras; rectangular observation requests; Approximation algorithms; Cameras; Measurement; Robot vision systems; Search problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2010 IEEE Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-5447-1
  • Type

    conf

  • DOI
    10.1109/COASE.2010.5584770
  • Filename
    5584770