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Automated video imaging system for counting deep-sea bioluminescence organisms events

TitleAutomated video imaging system for counting deep-sea bioluminescence organisms events
Publication TypePresentazione a Congresso
Year of Publication2014
AuthorsMazzei, L., Marini S., Craig J., Aguzzi J., Fanelli E., and Priede I.G.
Conference NameProceedings - 2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN Number9781479967131
KeywordsAutomatic Detection, Biology, Bioluminescence, bioluminescent organisms, Cameras, Charge coupled devices, Computer graphics, Computer vision, Computer vision algorithms, Deep sea, Living organisms, marine environment, Multimedia systems, Object recognition, Phosphorescence, Realtime processing, Video Recording, Video tracking
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. © 2014 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84916631933&doi=10.1109%2fCVAUI.2014.15&partnerID=40&md5=626652abbf0b27de622e7fa0e6e03292
DOI10.1109/CVAUI.2014.15
Citation KeyMazzei201457