Title | ||
---|---|---|
Visual tracking of deepwater animals using machine learning-controlled robotic underwater vehicles |
Abstract | ||
---|---|---|
The ocean is a vast three-dimensional space that is poorly explored and understood, and harbors unobserved life and processes that are vital to ecosystem function. To fully interrogate the space, novel algorithms and robotic platforms are required to scale up observations. Locating animals of interest and extended visual observations in the water column are particularly challenging objectives. Tow... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/WACV48630.2021.00090 | 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) |
Keywords | DocType | ISSN |
Visualization,Target tracking,Machine learning algorithms,Three-dimensional displays,Animals,Oceans,Ecosystems | Conference | 2472-6737 |
ISBN | Citations | PageRank |
978-1-6654-0477-8 | 0 | 0.34 |
References | Authors | |
0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kakani Katija | 1 | 0 | 0.34 |
Paul L D Roberts | 2 | 0 | 0.34 |
Joost Daniels | 3 | 0 | 0.34 |
Alexandra Lapides | 4 | 0 | 0.34 |
Kevin Barnard | 5 | 0 | 0.34 |
Mike Risi | 6 | 0 | 0.34 |
Ben Y Ranaan | 7 | 0 | 0.34 |
Benjamin G Woodward | 8 | 0 | 0.34 |
Jonathan Takahashi | 9 | 0 | 0.34 |