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Detecting Marine Animals in Underwater Video: Let's Start with Salmon.
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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Available under University of Tasmania Standard License.
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|
|Item Statistics:||View statistics for this item|
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