@inproceedings{c173a101932d4083b3af4e16759eb016,
title = "Underwater Fish Tracking-by-Detection: An Adaptive Tracking Approach",
abstract = "High distortion and complex marine environment pose severe challenges to underwater tracking. In this paper, we propose a simple, template-free Adaptive Euclidean Tracking (AET) approach for underwater fish tracking by regarding tracking as a specific case of instance detection. The proposed method exploits the advanced detection framework to track the fish in underwater imagery without any image enhancement techniques. The proposed method achieves comparable performance on the DeepFish dataset, with 22% and 14% improvement in precision and success over state-of-art trackers.",
keywords = "Adaptive search, Object Detection, Underwater Tracking",
author = "Divya Velayudhan and Adarsh Ghimire and Jorge Dias and Naoufel Werghi and Sajid Javed",
note = "Publisher Copyright: {\textcopyright} 2023, Springer Nature Switzerland AG.; 26th International Conference on Pattern Recognition, ICPR 2022 ; Conference date: 21-08-2022 Through 25-08-2022",
year = "2023",
doi = "10.1007/978-3-031-37731-0_37",
language = "British English",
isbn = "9783031377303",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "504--515",
editor = "Jean-Jacques Rousseau and Bill Kapralos",
booktitle = "Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, Proceedings",
address = "Germany",
}