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Distributed multi-camera synchronization for smart-intruder detection

机译:分布式多摄像机同步,用于智能入侵者检测

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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.
机译:这项工作提出了算法,以控制用于视频监视的一组摄像机的轨迹。我们考虑了环境中安装的一系列摄像机。这些摄像头用于检测智能入侵者,智能入侵者会在每个时刻了解摄像头的配置,并会安排其运动以避免可能的检测。对于此问题的设置,我们首先获得智能入侵者的最坏情况和平均检测时间的下限。然后,我们为摄像机提出了一个团队轨迹,称为等候轨迹,具有最小的最坏情况检测时间和恒定因子的最佳平均检测时间。此外,我们设计并分析了一种分布式算法,可在有限的时间内将摄像机引导至等车轨迹。最后,通过仿真研究进一步分析了我们分布式算法的性能和鲁棒性。

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