Multi-Object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-Based Fishing Bycatch Monitoring-Reference-Cited by-同舟云学术

Multi-Object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-Based Fishing Bycatch Monitoring

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing (ICIP)
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Author:

Yang Cheng-Yen¹,Tan Alan Yu Shyang²,Underwood Melanie J.²,Bodie Charlotte²,Jiang Zhongyu¹,George Steve²,Warr Karl³,Hwang Jenq-Neng¹,Jones Emma²

Affiliation:

1. University of Washington,Department of Electrical & Computer Engineering,United States

2. National Institute of Water and Atmospheric Research,New Zealand

3. BetterFishing Ltd,New Zealand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222438.pdf?arnumber=10222438

Reference29 articles.

1. Mask R-CNN

2. Real-time detections of bycatch species in demersal trawl fisheries;lyngby;ICES/FAO Working Group on Fishing Technology and Fish Behaviour (WGFTFB23),2023

3. YOLOX: Exceeding yolo series in 2021;ge,2021

4. Towards real-time multi-object tracking;wang;the European Conference on Computer Vision (ECCV),2020

5. The fishscanner;einarsson;ICES/FAO Working Group on Fishing Technology and Fish Behaviour (WGFTFB23),2023

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