Evaluation of Machine Vision Techniques for Aerial Search of Humans in Maritime Environments

Westall, Paul, Ford, Jason J., O'Shea, Peter J., & Hrabar, Stefan (2008) Evaluation of Machine Vision Techniques for Aerial Search of Humans in Maritime Environments. In Digital Image Computing: Techniques and Applications (DICTA) 2008, 1-3 December 2008, Canberra, Australia.

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Abstract

Searching for humans lost in vast stretches of ocean has always been a difficult task. In this paper, a range of machine vision approaches are investigated as candidate tools to mitigate the risk of human fatigue and complacency after long hours performing these kind of search tasks. Our two-phased approach utilises point target detection followed by temporal tracking of these targets. Four different point target detection techniques and two tracking techniques are evaluated. We also evaluate the use of different colour spaces for target detection. This paper has a particular focus on Hidden Markov Model based tracking techniques, which seem best able to incorporate a priori knowledge about the maritime search problem, to improve detection performance.

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7 citations in Scopus
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ID Code: 16893
Item Type: Conference Paper
Refereed: Yes
Keywords: machine vision, hidden markov models, mathematical morphology, search and rescue, maritime
DOI: 10.1109/DICTA.2008.89
ISBN: 9780769534565
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aerospace Engineering not elsewhere classified (090199)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: The Institute of Electrical and Electronics Engineers, Inc
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 11 Dec 2008 23:50
Last Modified: 29 Feb 2012 13:45

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