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


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

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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)
Authors/Creators:Williams, R and Lambert, T and Kelsall, A and Pauly, T
Keywords: image analysis, underwater video, environmental decision support systems, marine environments, marine animals.
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