Online multi-object tracking method for shrimps in high density using multi-task you only look once exceeding and cascade strategy-Reference-Cited by-同舟云学术

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Online multi-object tracking method for shrimps in high density using multi-task you only look once exceeding and cascade strategy

Published:2024-10 Issue: Volume:136 Page:108882
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Liu Yiran,Li Beibei,Zhou Xinhui,Li Daoliang,Duan Qingling^ORCID

Publisher

Elsevier BV

Reference57 articles.

1. Fish detection and tracking in pisciculture environment using deep instance segmentation;Arvind,2019

2. Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking;Bae;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. TAU: a framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems;Benjdira;Eng. Appl. Artif. Intell.,2022

4. Simple online and realtime tracking;Bewley,2016

5. SUZE: a Hybrid approach for multi-fish detection and tracking;Bhateja,2020

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