• DocumentCode
    574082
  • Title

    Distributed multi-camera synchronization for smart-intruder detection

  • Author

    Spindler, Markus ; Pasqualetti, Fabio ; Bullo, Francesco

  • Author_Institution
    Center for Control, Dynamical Syst. & Comput., Univ. of California, Santa Barbara, CA, USA
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    5120
  • Lastpage
    5125
  • Abstract
    This work proposes algorithms to control the trajectory of a team of cameras for video surveillance. We consider a chain of cameras installed in an environment. These cameras are used to detect smart intruders, who are aware of the cameras´ configuration at each time instant, and who schedule their motion to avoid detection, if possible. For this problem setup, we first obtain a lower bound on the worst-case and on the average detection time of a smart intruder. We then propose a team trajectory for the cameras, called the equal-waiting trajectory, with minimum worst-case detection time and constant-factor optimal average detection time. Additionally, we design and analyse a distributed algorithm to steer the cameras in finite time towards the equal-waiting trajectory. Finally, the performance and robustness of our distributed algorithm is further analyzed through a simulation study.
  • Keywords
    distributed algorithms; distributed parameter systems; image motion analysis; image sensors; mobile robots; multi-robot systems; object detection; robot vision; synchronisation; trajectory control; video surveillance; autonomous agents; autonomous robots; coordinated teams; distributed algorithm; distributed multicamera synchronization; equal-waiting trajectory control; minimum worst-case detection time; mobile robotics; smart-intruder detection; video surveillance; Cameras; Clustering algorithms; Distributed algorithms; Robustness; Surveillance; Synchronization; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6314665
  • Filename
    6314665