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
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;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6314665