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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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.

Impact and interest:

13 citations in Scopus
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10 citations in Web of Science®

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Full-text downloads:

506 since deposited on 27 Mar 2011
41 in the past twelve months

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ID Code: 40954
Item Type: Conference Paper
Refereed: Yes
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: 27 Mar 2011 23:47
Last Modified: 18 Jun 2015 05:12

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