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

Autor: Boom, Bas, Huang, P.X., Spampinato, Concetto, Palazzo, S., He, Jiyin, Beyan, C., Beauxis-Aussalet, Emmanuelle, Ossenbruggen, Jacco, Nadarajan, G., Chen-Burger, Yun-Heh (Jessica), Giordano, Daniela, Hardman, Lynda, Lin, Fang-Pang, Fisher, Robert

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 ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::d8e162a4cf3a02662935fb9a1acbe843
https://ir.cwi.nl/pub/21386

Detecting, Tracking and Counting Fish in Low Quality Unconstrained Underwater Videos

Autor: Spampinato, C., Chen-Burger, Y.-H., Nadarajan, G., Fisher, R.

Publikováno v: Spampinato, C, Chen-Burger, Y-H, Nadarajan, G & Fisher, R 2008, Detecting, Tracking and Counting Fish in Low Quality Unconstrained Underwater Videos . in Proc. 3rd Int. Conf. on Computer Vision Theory and Applications (VISAPP) . vol. 2, pp. 514-519 . < http://www.inf.ed.ac.uk/publications/report/1272.html >

In this work a machine vision system capable of analysing underwater videos for detecting, tracking and counting fish is presented. The real-time videos, collected near the Ken-Ding sub-tropical coral reef waters are managed by EcoGrid, Taiwan and ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cd230ef5484d4b0a079dd3fbd7c41b34
http://hdl.handle.net/20.500.11769/252759

A flexible system for automated composition of intelligent video analysis.

Autor: Nadarajan, G., Chen-Burger, Y.-H., Fisher, R.B., Spampinato, C.

Publikováno v: 2011 7th International Symposium on Image & Signal Processing & Analysis (ISPA); 2011, p259-264, 6p