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

Luca Mazzei, Simone Marini, Jessica Craig, Jacopo Aguzzi, Emanuela Fanelli, Imants G. Priede

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI)
PublisherIEEE Explore
Pages57-64
Number of pages8
ISBN (Electronic)9781479967131
ISBN (Print)9781479967148
DOIs
Publication statusPublished - 20 Nov 2014
Event2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery - Stockholm, Sweden
Duration: 24 Aug 201424 Aug 2014

Conference

Conference2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery
Abbreviated titleCVAUI 2014
CountrySweden
CityStockholm
Period24/08/1424/08/14

Keywords

  • bioluminescent organisms
  • deep sea
  • under- water computer vision
  • underwater object recognition.
  • video tracking

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  • Cite this

    Mazzei, L., Marini, S., Craig, J., Aguzzi, J., Fanelli, E., & Priede, I. G. (2014). Automated video imaging system for counting deep-sea bioluminescence organisms events. In Proceedings: 2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI) (pp. 57-64). IEEE Explore. https://doi.org/10.1109/CVAUI.2014.15