Long-term underwater camera surveillance for monitoring and analysis of fish populations

Bastiaan Boom, Phoenix X. Huang, C. Beyan, Concetto Spampinato, Simone Palazzo, Jiyin He, Emmanuelle Beauxis-Aussalet, Sun-In Lin, Hsiu-Mei Chou, Gayathri Nadarajan, Jessica Chen-Burger, Jacco van Ossenbruggen, Daniela Giordano, Lynda Hardman, Fang-Pang Lin, Bob Fisher

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


Long-term monitoring of the underwater environment is still labour intensive work. Using underwater surveillance cameras to monitor this environment has
the potential advantage to make the task become less labour intensive. Also, the obtained data can be stored making the research reproducible. In this work, a system to analyse long-term underwater camera footage (more than 3 years of 12 hours a day underwater camera footage from 10 cameras) is described. This system uses video processing software to detect and recognise fish species. This footage is processed on supercomputers, which allow marine biologists to request automatic processing on these videos and afterwards analyse the results using a web-interface that allows them to display counts of fish species in the camera footage.
Original languageEnglish
Title of host publication2012 21st international conference on pattern recognition (ICPR 2012)
PublisherRed Hook : Curran Associates, Inc.
Number of pages4
ISBN (Print) 9781467322164
Publication statusPublished - 2012


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