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Dynamic Camera Network Reconfiguration for Crowd Surveillance

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Published:03 September 2018Publication History

ABSTRACT

Crowd surveillance will play a fundamental role in the coming generation of video surveillance systems, in particular for improving public safety and security. However, traditional camera networks are mostly not able to closely survey the entire monitoring area due to limitations in coverage, resolution and analytics performance. A smart camera network, on the other hand, offers the ability to reconfigure the sensing infrastructure by incorporating active devices such as pan-tilt-zoom (PTZ) cameras and UAV-based cameras, which enable the adaptation of coverage and target resolution over time. This paper proposes a novel decentralized approach for dynamic network reconfiguration, where cameras locally control their PTZ parameters and position, to optimally cover the entire scene. For crowded scenes, cameras must deal with a trade-off among global coverage and target resolution to effectively perform crowd analysis. We evaluate our approach in a simulated environment surveyed with fixed, PTZ, and UAV-based cameras.

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  • Published in

    cover image ACM Other conferences
    ICDSC '18: Proceedings of the 12th International Conference on Distributed Smart Cameras
    September 2018
    134 pages
    ISBN:9781450365116
    DOI:10.1145/3243394

    Copyright © 2018 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 3 September 2018

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    Overall Acceptance Rate92of117submissions,79%

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