2010 25th International Conference of Image and Vision Computing New Zealand 2010
DOI: 10.1109/ivcnz.2010.6148828
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Shark detection using optical image data from a mobile aerial platform

Abstract: Sharks are one of the major predators in the ocean. In particular, the great white shark is a primary threat to swimmers. This work proposes an automatic method for the recognition of deformable submerged objects (i.e. sharks) from aerial images of the coast line in an uncontrolled environment. It focuses on great white shark recognition in the surf zone of coastal areas. As the images were taken in an uncontrolled environment and the object shapes of interest are deformable, it is not easy to distinguish shar… Show more

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Cited by 8 publications
(10 citation statements)
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“…As already mentioned, Gururatsakul [2] attempted to recognize sharks from dolphins and shark-like objects by concentrating on shape feature characteristics. From the experimental results, their system produced promising results.…”
Section: Previous Workmentioning
confidence: 99%
See 4 more Smart Citations
“…As already mentioned, Gururatsakul [2] attempted to recognize sharks from dolphins and shark-like objects by concentrating on shape feature characteristics. From the experimental results, their system produced promising results.…”
Section: Previous Workmentioning
confidence: 99%
“…In the image pre-processing, the same framework as proposed in [2] is employed. Firstly, the adaptive thresholding is applied to the thumbnail to extract the object, and then the region selection method is applied to select the region of interest from the extracted object.…”
Section: Architecture Of Proposed Approachmentioning
confidence: 99%
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