Automated marine mammal detection from aerial imagery

Author

Mejias, Luis ; Duclos, Gwenael ; Hodgson, Amanda ; Maire, Frederic

Author_Institution

Australian Res. Centre for Aerosp. Autom., Queensland Univ. of Technol., Brisbane, QLD, Australia

fYear

2013

fDate

23-27 Sept. 2013

Firstpage

1

Lastpage

5

Abstract

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 1000ft. Early results have demonstrated recall values of 48.57% and 51.4%, and precision values of 4.01% and 4.97%.

Keywords

autonomous aerial vehicles; geophysical image processing; image colour analysis; oceanographic techniques; robot vision; aerial imagery; automated marine mammal detection; colour analysis; histogram-based shape profiling; initial pilot study; marine species detection; morphology operations; precision values; recall values; saturation channel; unmanned aerial system; working principle; Algorithm design and analysis; Australia; Educational institutions; Feature extraction; Image color analysis; Monitoring; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Oceans - San Diego, 2013

Conference_Location

San Diego, CA

Type

conf

Filename

6741088