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A framework for designing active pan-tilt-zoom (PTZ) camera networks for surveillance applications
conference contribution
posted on 2017-05-29, 00:00 authored by Samer HanounSamer Hanoun, James ZhangJames Zhang, Vu LeVu Le, Burhan KhanBurhan Khan, Michael JohnstoneMichael Johnstone, Michael Fielding, Asim BhattiAsim Bhatti, Douglas CreightonDouglas Creighton, Saeid NahavandiCamera networks have become more predominant in many aspects around our society. Designing active Pan-Tilt-Zoom (PTZ) camera networks requires placing the cameras appropriately in the environment according to the designated coverage requirements as well as examining the network's operational resilience to the environment dynamics. This design process is crucial before physically establishing the network to ensure successful deployment and operation. In this paper, we present a framework that can be applied for designing practical PTZ camera networks in a realistic virtual simulation environment. The framework enables optimizing the camera network placement for coverage of specific regions of interest (ROI) in the monitored space. Also, simulating the network operation against environment dynamics in order to determine the impact on the pre-established design as an active camera network is expected to monitor additional and unknown events happening in the environment. A surveillance case study is presented where results show how the developed framework can be adequately used for experimentally designing and testing active PTZ camera networks.
History
Event
IEEE Systems Council. Conference (11th : 2017 : Montreal, Que.)Series
IEEE Systems Council ConferencePagination
1 - 6Publisher
Institute of Electrical and Electronics EngineersLocation
Montreal, Que.Place of publication
Piscataway, N.J.Publisher DOI
Start date
2017-04-24End date
2017-04-27eISSN
2472-9647ISBN-13
978-1-5090-4623-2Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2017, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
SysCon 2017 : Proceedings of the 11th Annual IEEE International Systems ConferenceUsage metrics
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