Computer vision models in intelligent aquaculture with emphasis on fish detection and behavior analysis: a review
Intelligence technologies play an important role in increasing product quality and production
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …
Multiple object tracking: A literature review
Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …
and commercial potential. Although different approaches have been proposed to tackle this …
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
A Sadeghian, A Alahi… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
The majority of existing solutions to the Multi-Target Tracking (MTT) problem do not combine
cues over a long period of time in a coherent fashion. In this paper, we present an online …
cues over a long period of time in a coherent fashion. In this paper, we present an online …
Automated detection, classification and counting of fish in fish passages with deep learning
V Kandimalla, M Richard, F Smith, J Quirion… - Frontiers in Marine …, 2022 - frontiersin.org
The Ocean Aware project, led by Innovasea and funded through Canada's Ocean
Supercluster, is developing a fish passage observation platform to monitor fish without the …
Supercluster, is developing a fish passage observation platform to monitor fish without the …
Transferring deep knowledge for object recognition in low-quality underwater videos
In recent years, underwater video technologies allow us to explore the ocean in scientific
and noninvasive ways, such as environmental monitoring, marine ecology studies, and …
and noninvasive ways, such as environmental monitoring, marine ecology studies, and …
[HTML][HTML] A research tool for long-term and continuous analysis of fish assemblage in coral-reefs using underwater camera footage
We present a research tool that supports marine ecologists' research by allowing analysis of
long-term and continuous fish monitoring video content. The analysis can be used for …
long-term and continuous fish monitoring video content. The analysis can be used for …
[HTML][HTML] Detection confidence driven multi-object tracking to recover reliable tracks from unreliable detections
T Mandel, M Jimenez, E Risley, T Nammoto… - Pattern Recognition, 2023 - Elsevier
Multi-object tracking (MOT) systems often rely on accurate object detectors; however,
accurate detectors are not available in every application domain. We present Robust …
accurate detectors are not available in every application domain. We present Robust …
Gmot-40: A benchmark for generic multiple object tracking
Abstract Multiple Object Tracking (MOT) has witnessed remarkable advances in recent
years. However, existing studies dominantly request prior knowledge of the tracking target …
years. However, existing studies dominantly request prior knowledge of the tracking target …
An innovative web-based collaborative platform for video annotation
Large scale labeled datasets are of key importance for the development of automatic video
analysis tools as they, from one hand, allow multi-class classifiers training and, from the …
analysis tools as they, from one hand, allow multi-class classifiers training and, from the …
Automatic nile tilapia fish classification approach using machine learning techniques
Commonly, aquatic experts use traditional methods such as casting nets or underwater
human monitoring for detecting existence and quantities of different species of fish …
human monitoring for detecting existence and quantities of different species of fish …