Paper Info
Title
Detection of dugongs from unmanned aerial vehicles
Abstract
Monitoring and estimation of marine populations is of paramount importance for the conservation and management of sea species. Regular surveys are used to this purpose followed often by a manual counting process. This paper proposes an algorithm for automatic detection of dugongs from imagery taken in aerial surveys. Our algorithm exploits the fact that dugongs are rare in most images, therefore we determine regions of interest partially based on color rarity. This simple observation makes the system robust to changes in illumination. We also show that by applying the extended-maxima transform on red-ratio images, submerged dugongs with very fuzzy edges can be detected. Performance figures obtained here are promising in terms of degree of confidence in the detection of marine species, but more importantly our approach represents a significant step in automating this type of surveys.
Year
DOI
Venue
2013
10.1109/IROS.2013.6696745
Intelligent Robots and Systems
Keywords
Field
DocType
biology computing,image colour analysis,object detection,aerial surveys,automatic detection,color rarity,dugong detection,extended-maxima transform,fuzzy edges,illumination,imagery,marine population estimation,marine population monitoring,marine species detection,red-ratio images,regions of interest,sea species,submerged dugongs,unmanned aerial vehicles
Computer vision,Object detection,Aerial survey,Counting process,Computer science,Fuzzy logic,Exploit,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
2153-0858
2
0.39
References 
Authors
1
4
Name
Order
Citations
PageRank
Frederic Maire17620.31
Luis Mejias214315.42
Amanda Hodgson320.39
Gwenael Duclos420.39