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Distributed multi-camera synchronization for smartintruder detection

By Markus Spindler, Fabio Pasqualetti and Francesco Bullo


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 equalwaiting 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. I

Year: 2011
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