Escort: a system for rapid and long‐term tracking of multiple insect objects-Reference-Cited by-同舟云学术

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Escort: a system for rapid and long‐term tracking of multiple insect objects

Published:2024-06-17 Issue: Volume: Page:
ISSN:1672-9609
Container-title:Insect Science
language:en
Short-container-title:Insect Science

Author:

Wu Chengshi¹,Ge Jin²³^ORCID,Han Bin¹,Lan Hengjing²³,Zhou Xian²³,Ge Zhuxi²³,Cui Weichan²,Liu Xiaofeng¹,Wang Xianhui²³^ORCID

Affiliation:

1. College of AI and Automation Hohai University Changzhou Jiangsu Province China

2. State Key Laboratory of Integrated Management of Pest Insects and Rodents Institute of Zoology, Chinese Academy of Sciences Beijing China

3. CAS Centre for Excellence in Biotic Interactions University of Chinese Academy of Sciences Beijing China

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1744-7917.13407

Reference12 articles.

1. BEEtag: A Low-Cost, Image-Based Tracking System for the Study of Animal Behavior and Locomotion

2. DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

3. A Review of Yolo Algorithm Developments

4. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

5. A review of 28 free animal-tracking software applications: current features and limitations

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