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