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Probabilistic certification of pan-tilt-zoom camera surveillance systems


D. M. Raimondo, N. Kariotoglou, S. Summers, J. Lygeros

Conference on Decision and Control (CDC), Orlando, USA, pp. 2064 - 2069, 12-15 Dec

In this work a method to evaluate the performance of autonomous patrolling systems is introduced based on stochastic reachability with random sets. We consider setvalued models with stochastic dynamics for multiple pan-tilt zoom (PTZ) cameras acting as pursuers and a single evader. The problem of maximizing the probability that the evader successfully completes an intrusion objective while avoiding capture by the cameras is considered and posed as a stochastic reach-avoid problem. The solution of the stochastic reach-avoid problem is solved via dynamic programming where the optimal value function is used as a quality indicator of each patrolling strategy. A comparison between multiple patrolling strategies is provided via simulation of a realistic patrolling scenario.


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% Autogenerated BibTeX entry
@InProceedings { RaiEtal:2011:IFA_3860,
    author={D. M. Raimondo and N. Kariotoglou and S. Summers and J. Lygeros},
    title={{Probabilistic certification of pan-tilt-zoom camera
	  surveillance systems}},
    booktitle={Conference on Decision and Control (CDC)},
    pages={2064 -- 2069},
    address={Orlando, USA},
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