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.

Long-term underwater camera surveillance for monitoring and analysis of fish populations / Boom, Bastiaan; Huang, Phoenix; Beyan, Cigdem; Spampinato, Concetto; Palazzo, Simone; He, Jiyin; Beauxis-Aussalet, Emmanuelle; Lin, Sun-In; Chou, Hsiu-Mei; Nadarajan, Gayathri; Chen-Burger, Yun-Heh; Ossenbruggen, Jacco van; Giordano, Daniela; Hardman, Lynda; Lin, Fang-Pang; Fisher, Robert B.. - (2012), pp. [1-4]. (Intervento presentato al convegno VAIB ICPR tenutosi a Japan nel 11-15 November).

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

Beyan, Cigdem;
2012-01-01

Abstract

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.
2012
International Workshop on Visual Observation and Analysis of Animal and Insect Behavior (VAIB), in conjunction with the 21st International Conference on Pattern Recognition
New York
IAPR
Boom, Bastiaan; Huang, Phoenix; Beyan, Cigdem; Spampinato, Concetto; Palazzo, Simone; He, Jiyin; Beauxis-Aussalet, Emmanuelle; Lin, Sun-In; Chou, Hsiu-Mei; Nadarajan, Gayathri; Chen-Burger, Yun-Heh; Ossenbruggen, Jacco van; Giordano, Daniela; Hardman, Lynda; Lin, Fang-Pang; Fisher, Robert B.
Long-term underwater camera surveillance for monitoring and analysis of fish populations / Boom, Bastiaan; Huang, Phoenix; Beyan, Cigdem; Spampinato, Concetto; Palazzo, Simone; He, Jiyin; Beauxis-Aussalet, Emmanuelle; Lin, Sun-In; Chou, Hsiu-Mei; Nadarajan, Gayathri; Chen-Burger, Yun-Heh; Ossenbruggen, Jacco van; Giordano, Daniela; Hardman, Lynda; Lin, Fang-Pang; Fisher, Robert B.. - (2012), pp. [1-4]. (Intervento presentato al convegno VAIB ICPR tenutosi a Japan nel 11-15 November).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/304321
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