@inproceedings{21386,
author       = {Boom, B. J. and Huang, P. X. and Spampinato, C and Palazzo, S. and He, J. and Beyan, C. and Beauxis-Aussalet, E. M. A. L. and van Ossenbruggen, J. R. and Nadarajan, G. and Chen-Burger, J. Y. and Giordano, D. and Hardman, L. and Lin, F.-P. and Fisher, R. B.},
title        = {Long-{Term} {Underwater} {Camera} {Surveillance} {For} {Monitoring} {And} {Analysis} {Of} {Fish} {Populations}},
booktitle    = {Proceedings of Workshop on Visual observation and Analysis of Animal and Insect Behavior 2012 (VAIB )},
conferencetitle    = {Workshop on Visual observation and Analysis of Animal and Insect Behavior},
conferencedate     = {2012},
conferencelocation = {Tsukuba, Japan},
pages        = {1 - 4},
year         = {2013},
refereed     = {y},
size         = {4p.},
group        = {INS2},
scndgroup    = {Information},
language     = {en},
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.},
url          = {http://oai.cwi.nl/oai/asset/21386/21386B.pdf},
url          = {http://homepages.inf.ed.ac.uk/rbf/Fish4Knowledge/PAPERS/boomvaib.pdf},
}

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B."],"year":2013,"bibtype":"inproceedings","biburl":"http://homepages.cwi.nl/~jrvosse/publications/pubs.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"propositions":[],"lastnames":["Boom"],"firstnames":["B.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Huang"],"firstnames":["P.","X."],"suffixes":[]},{"propositions":[],"lastnames":["Spampinato"],"firstnames":["C"],"suffixes":[]},{"propositions":[],"lastnames":["Palazzo"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["He"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Beyan"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Beauxis-Aussalet"],"firstnames":["E.","M.","A.","L."],"suffixes":[]},{"propositions":["van"],"lastnames":["Ossenbruggen"],"firstnames":["J.","R."],"suffixes":[]},{"propositions":[],"lastnames":["Nadarajan"],"firstnames":["G."],"suffixes":[]},{"propositions":[],"lastnames":["Chen-Burger"],"firstnames":["J.","Y."],"suffixes":[]},{"propositions":[],"lastnames":["Giordano"],"firstnames":["D."],"suffixes":[]},{"propositions":[],"lastnames":["Hardman"],"firstnames":["L."],"suffixes":[]},{"propositions":[],"lastnames":["Lin"],"firstnames":["F.-P."],"suffixes":[]},{"propositions":[],"lastnames":["Fisher"],"firstnames":["R.","B."],"suffixes":[]}],"title":"Long-Term Underwater Camera Surveillance For Monitoring And Analysis Of Fish Populations","booktitle":"Proceedings of Workshop on Visual observation and Analysis of Animal and Insect Behavior 2012 (VAIB )","conferencetitle":"Workshop on Visual observation and Analysis of Animal and Insect Behavior","conferencedate":"2012","conferencelocation":"Tsukuba, Japan","pages":"1 - 4","year":"2013","refereed":"y","size":"4p.","group":"INS2","scndgroup":"Information","language":"en","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.","url":"http://homepages.inf.ed.ac.uk/rbf/Fish4Knowledge/PAPERS/boomvaib.pdf","bibtex":"@inproceedings{21386,\nauthor = {Boom, B. J. and Huang, P. X. and Spampinato, C and Palazzo, S. and He, J. and Beyan, C. and Beauxis-Aussalet, E. M. A. L. and van Ossenbruggen, J. R. and Nadarajan, G. and Chen-Burger, J. Y. and Giordano, D. and Hardman, L. and Lin, F.-P. and Fisher, R. B.},\ntitle = {Long-{Term} {Underwater} {Camera} {Surveillance} {For} {Monitoring} {And} {Analysis} {Of} {Fish} {Populations}},\nbooktitle = {Proceedings of Workshop on Visual observation and Analysis of Animal and Insect Behavior 2012 (VAIB )},\nconferencetitle = {Workshop on Visual observation and Analysis of Animal and Insect Behavior},\nconferencedate = {2012},\nconferencelocation = {Tsukuba, Japan},\npages = {1 - 4},\nyear = {2013},\nrefereed = {y},\nsize = {4p.},\ngroup = {INS2},\nscndgroup = {Information},\nlanguage = {en},\nabstract = {Long-term monitoring of the underwater environment is still labour intensive work. Using underwater surveillance\n cameras to monitor this environment has the potential advantage to make the task become less labour intensive. Also, the\n obtained data can be stored making the research reproducible. In this work, a system to analyse long-term underwater camera\n footage (more than 3 years of 12 hours a day underwater camera footage from 10 cameras) is described. This system uses video\n processing software to detect and recognise fish species. This footage is processed on supercomputers, which allow marine\n biologists to request automatic processing on these videos and afterwards analyse the\r\nresults using a web-interface that\n allows them to display counts of fish species in the camera footage.},\nurl = {http://oai.cwi.nl/oai/asset/21386/21386B.pdf},\nurl = {http://homepages.inf.ed.ac.uk/rbf/Fish4Knowledge/PAPERS/boomvaib.pdf},\n}\n\r\n\r\n\r\n","author_short":["Boom, B. J.","Huang, P. X.","Spampinato, C","Palazzo, S.","He, J.","Beyan, C.","Beauxis-Aussalet, E. M. A. L.","van Ossenbruggen, J. R.","Nadarajan, G.","Chen-Burger, J. Y.","Giordano, D.","Hardman, L.","Lin, F.","Fisher, R. 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