Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP150104251]
Researchers:
A/Prof Farid Boussaid
(Chief Investigator)
,
Head of School Gary Kendrick
(Chief Investigator)
,
Head of School Gary Kendrick
(Chief Investigator)
,
Kendrick, Gary
(Chief Investigator)
,
Prof Dr Mohammed Bennamoun
(Chief Investigator)
View all 6 related researchers
Brief description Advanced Computer Vision Techniques for Marine Ecology. Ever expanding human activity coupled with climate change has severely damaged marine ecosystems, which play a key role in our planet's ability to sustain life. Yet automated technology to monitor the health of our oceans still does not exist, with marine scientists still having today to process manually a massive amount of raw underwater imagery. This research aims to address this bottleneck by developing advanced computer vision tools for rapid, large-scale, automatic identification of marine species. Such an automated technology is expected to greatly benefit marine ecological studies in terms of speed, cost, accuracy of the spatial/temporal sampling and thus in better quantifying the level of environmental change marine ecosystems can tolerate.
Funding Amount $614,700
Funding Scheme Discovery Projects
- PURL : https://purl.org/au-research/grants/arc/DP150104251
- ARC : DP150104251