Tracking Multiple Zebrafish Larvae Using YOLOv5 and DeepSORT-Reference-Cited by-同舟云学术

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Tracking Multiple Zebrafish Larvae Using YOLOv5 and DeepSORT

Published:2022-02-18 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Automation, Robotics and Applications (ICARA)
language:
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Author:

Si Guoning¹,Zhou Fuhuan¹,Zhang Zhuo²,Zhang Xuping³

Affiliation:

1. University of Shanghai for Science and Technology,School of Health Science and Engineering,Shanghai,China

2. Xi’an University of Posts & Telecommunications,School of Modern Posts,Xi’an,China

3. Aarhus University,Department of Mechanical and Production Engineering,Aarhus,Denmark

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9738547/9738518/09738556.pdf?arnumber=9738556

Reference22 articles.

1. A Boosted Particle Filter: Multitarget Detection and Tracking

2. Kalman Filter Tracking

3. Output Constraint Transfer for Kernelized Correlation Filter in Tracking

4. Swimming of larval zebrafish: ontogeny of body waves and implications for locomotory development

5. A new sort algorithm

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1. Biological Trajectory Prediction of Beet Armyworm Larva Based on Computer Vision and Time-Series Forecasting Model;2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS);2024-05-23

2. Quantifying Variability in Zebrafish Larvae Locomotor Behavior across Experimental Conditions: A Learning-Based Tracker;Fishes;2024-05-23

3. Bringing Artificial Intelligence (AI) into Environmental Toxicology Studies: A Perspective of AI-Enabled Zebrafish High-Throughput Screening;Environmental Science & Technology;2024-05-01

4. Triple Attention Mechanism with YOLOv5s for Fish Detection;Fishes;2024-04-23

5. Heat stress affects swimming performance and induces biochemical, structural, and transcriptional changes in the heart of Gymnocypris eckloni;Aquaculture Reports;2024-04

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