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Recognition, Tracking, and Optimisation

Xianghua Xie Orcid Logo, Mark Jones Orcid Logo, Gary Tam

International Journal of Computer Vision, Volume: 122, Issue: 3, Pages: 409 - 410

Swansea University Authors: Xianghua Xie Orcid Logo, Mark Jones Orcid Logo

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Abstract

This special issue of the International Journal of Computer Vision contains eight selected contributions that showcase some of the most actively researched areas in Computer Vision, ranging from object recognition and identification, motion analysis and tracking, and optimisation. It also includes e...

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Published in: International Journal of Computer Vision
ISSN: 0920-5691 1573-1405
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa32785
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Abstract: This special issue of the International Journal of Computer Vision contains eight selected contributions that showcase some of the most actively researched areas in Computer Vision, ranging from object recognition and identification, motion analysis and tracking, and optimisation. It also includes examples of real world applications where com- puter vision offers reliable quantitative solutions. Advances in fundamental methods, such as learning algorithm and fea- ture representation, are essential in performing these tasks, as the papers in this special issue show.
College: Faculty of Science and Engineering
Issue: 3
Start Page: 409
End Page: 410