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In-Situ Fish Surveillance: detecting and identifying rare fish species

Project Member(s): Booth, D., Fowler, A.

Funding or Partner Organisation: National ICT Australia

Start year: 2013

Summary: This project will examine ways to automate analysis of in-situ fish videos acquired using a baited remote underwater video station (BRUVS). Currently the video data acquired from a BRUVS has to be examined manually and is a time consuming task. We will examine the applicability of state-of-the-art computer vision techniques to automate the analysis of BRUVS footage to detect and recognise black cod (an endangered species). This project involves analysis of video footage collected during a previous research project. As such, the current project does not involve any interaction with live animals, including black cod.

Keywords: fish detection, automated, underwater video

FOR Codes: Computer Software, Ecosystem Assessment and Management of Coastal and Estuarine Environments, Marine and Estuarine Ecology (incl. Marine Ichthyology)