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Semi-supervised intelligent surveillance system for secure environments

Fookes, Clinton, Denman, Simon, Lakemond, Ruan, Ryan, David, Sridharan, Sridha, & Piccardi, Massimo (2010) Semi-supervised intelligent surveillance system for secure environments. In Proceedings of the IEEE International Symposium on Industrial Electronics, Special Session on Computational Intelligence for Safe and Secure Environments and Transport, Bari, Italy, pp. 2815-2820.

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    Abstract

    This paper proposes a semi-supervised intelligent visual surveillance system to exploit the information from multi-camera networks for the monitoring of people and vehicles. Modules are proposed to perform critical surveillance tasks including: the management and calibration of cameras within a multi-camera network; tracking of objects across multiple views; recognition of people utilising biometrics and in particular soft-biometrics; the monitoring of crowds; and activity recognition. Recent advances in these computer vision modules and capability gaps in surveillance technology are also highlighted.

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    6 times in Scopus
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    1 times in Web of Science

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    ID Code: 40954
    Item Type: Conference Paper
    Keywords: video surveillance , computer vision, object detection, monitoring, soft-biometrics, biometrics, tracking
    DOI: 10.1109/ISIE.2010.5636922
    ISBN: 9781424463909
    Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Graphics (080103)
    Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
    Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
    Past > Institutes > Information Security Institute
    Past > Schools > School of Engineering Systems
    Copyright Owner: Copyright 2010 IEEE
    Deposited On: 28 Mar 2011 09:47
    Last Modified: 01 Mar 2012 00:32

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