Re-identification for long-term tracking and management of health and welfare challenges in pigs
Published by
Biosystems Engineering
Summary
journal-article
Anicetus Odo
About
Anicetus received the B.Eng. degree in Computer Engineering and a Masters (M.Eng.) degree in Electronic Engineering. In 2022, he completed a PhD in Engineering from the University of Dundee, United Kingdom. His research focused on image/video analysis using computer vision and deep learning. He has been involved in interdisciplinary research collaborations involving engineers, veterinarians and experts in the electricity transmission and distribution industry. Anicetus has presented his work at conferences and published in journals. He is a Postdoctoral Research Fellow at the School of Biological Sciences (Institute for Global Food Security), Queen’s University Belfast where he is leading the research to develop methods for automated monitoring of welfare challenges in farm animals.
Work
Queen's University Belfast
|Research Fellow
United Kingdom of Great Britain and Northern Ireland
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Queen's University Belfast
|Research Assistant
United Kingdom of Great Britain and Northern Ireland
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University of Dundee
United Kingdom of Great Britain and Northern Ireland
Enugu State University of Science and Technology
|Lecturer
Nigeria
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Education
University of Dundee
United Kingdom of Great Britain and Northern Ireland
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Research Postgraduate Student
Publications
Automated Monitoring of Ear Biting in Pigs by Tracking Individuals and Events
Published by
Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024
Summary
conference-paper
Video Analysis Using Deep Learning for Automated Quantification of Ear Biting in Pigs
Published by
IEEE Access
Summary
journal-article
Video Analysis Using Deep Learning for Automated Quantification of Ear Biting in Pigs
Published by
IEEE Access
Summary
journal-article
Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers
Published by
IEEE Power and Energy Society General Meeting
Summary
conference-paper
Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers
Published by
2022 IEEE Power & Energy Society General Meeting (PESGM)
Summary
conference-paper
Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers
Published by
2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Summary
conference-paper
Aerial Image Analysis Using Deep Learning for Electrical Overhead Line Network Asset Management
Published by
IEEE Access
Summary
journal-article
Aerial Image Analysis Using Deep Learning for Electrical Overhead Line Network Asset Management
Published by
IEEE Access
Summary
journal-article
Aerial Image Analysis using Deep Learning for Electrical Overhead Line Network Asset Management
Published by
IEEE Access
Summary
journal-article
Towards the automatic visual monitoring of electricity pylons from aerial images
Published by
VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Summary
conference-paper
Towards the Automatic Visual Monitoring of Electricity Pylons from Aerial Images
Published by
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Summary
other
Towards the Automatic Visual Monitoring of Electricity Pylons from Aerial Images
Published by
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Summary
conference-paper
Automated Water Treatment Alternative for Domestic use in Enugu State of Nigeria
Published by
International Journal of Engineering and Technology
Summary
journal-article