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Detecting Marine Animals in Underwater Video: Let's Start with Salmon.

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Williams, R and Lambert, T and Kelsall, A and Pauly, T (2006) Detecting Marine Animals in Underwater Video: Let's Start with Salmon. In: 12th Americas Conference on Information Systems (AMCIS 2006)., 4-6 August 2006, Acapulco, Mexico.

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Abstract

Environmental Decision Support Systems (EDSS) constitute an important emerging technology for the management of marine environments and resources world-wide. A requirement for such systems is the provision of accurate and comprehensive data on marine animal populations and habitats. Underwater video is increasing in importance as a technology for collecting this data, but manual analysis of the video is time-consuming and subjective, and so automated techniques need to be developed before video technology becomes effective as a major data collection method for EDSS. A central requirement in many applications is the automated detection of specific marine animals in the video footage. Our aim is to develop a range of techniques for detecting marine animals in underwater video scenes and, as a starting point, we have developed a segmentation technique to automatically detect salmon depicted in images taken from video cameras placed in fish farm cages.

Item Type: Conference or Workshop Item (Paper)
Keywords: image analysis, underwater video, environmental decision support systems, marine environments, marine animals.
Page Range: pp. 1482-1490
Date Deposited: 23 Aug 2006
Last Modified: 18 Nov 2014 03:11
URI: http://eprints.utas.edu.au/id/eprint/367
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