Automated marine mammal detection from aerial imagery

Mejias, Luis, Duclos, Gwenael, Hodgson, Amanda, & Maire, Frederic D. (2013) Automated marine mammal detection from aerial imagery. In Proceedings of OCEANS '13 IEEE/MTS, Town and Country Resort Hotel, San Diego, CA. (In Press)

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This paper presents two algorithms to automate the detection of marine species in aerial imagery. An algorithm from an initial pilot study is presented in which morphology operations and colour analysis formed the basis of its working principle. A second approach is presented in which saturation channel and histogram-based shape profiling were used. We report on performance for both algorithms using datasets collected from an unmanned aerial system at an altitude of 1000 ft. Early results have demonstrated recall values of 48.57% and 51.4%, and precision values of 4.01% and 4.97%.

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ID Code: 61589
Item Type: Conference Paper
Refereed: Yes
Keywords: Marine Mammal Detection, UAV, Computer Vision, Dugong Detection
Subjects: Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > ECOLOGY (060200) > Marine and Estuarine Ecology (incl. Marine Ichthyology) (060205)
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 > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MARITIME ENGINEERING (091100) > Marine Engineering (091101)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 [please consult the author]
Deposited On: 01 Aug 2013 03:32
Last Modified: 25 Mar 2014 02:39

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