DocumentCode
158144
Title
Automated Video Imaging System for Counting Deep-Sea Bioluminescence Organisms Events
Author
Mazzei, Luca ; Marini, Simone ; Craig, Jessica ; Aguzzi, Jacopo ; Fanelli, Emanuela ; Priede, Imants G.
Author_Institution
ISMAR (Marine Sci. Inst.), Lerici, Italy
fYear
2014
fDate
24-24 Aug. 2014
Firstpage
57
Lastpage
64
Abstract
Bioluminescence refers to the production of ecologically functional light by living organisms. It is widespread in the marine environment, where it occurs in a broad range of phyla. The deep pelagic ocean is the largest biome on earth and is chronically under-sampled. Underwater camera systems offer a rapid sampling method for this zone. In the current study, the ICDeep (Image Intensied Charge Coupled Device for Deep-sea research) profiler was used to record digital video of bioluminescent organisms through the deep water column. This work proposes a new automatic detection and counting methods for bioluminescent organisms represented as ashes within video data acquired through the camera based on computer vision algorithms. The proposed method has been validated by a ground truthed sequence of bioluminescent events resulting in a high correct detection rate and real time processing execution.
Keywords
CCD image sensors; bioluminescence; cameras; computer vision; geophysical image processing; object recognition; sampling methods; video signal processing; ICDeep; automated video imaging system; automatic counting methods; computer vision algorithms; deep pelagic ocean; deep-sea bioluminescence organism event counting; digital video; ecologically functional light production; image intensified charge coupled device for deep-sea research; living organisms; marine environment; phyla; rapid sampling method; real time processing execution; underwater camera systems; Ash; Bioluminescence; Biomedical imaging; Bismuth; Cameras; Computer vision; Organisms; bioluminescent organisms; deep sea; under- water computer vision; underwater object recognition.; video tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision for Analysis of Underwater Imagery (CVAUI), 2014 ICPR Workshop on
Conference_Location
Stockholm
Print_ISBN
978-1-4799-6709-4
Type
conf
DOI
10.1109/CVAUI.2014.15
Filename
6961269
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