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Recognition, Tracking, and Optimisation / Xianghua Xie; Mark W. Jones; Gary Tam

International Journal of Computer Vision

Swansea University Author: Jones, Mark

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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/cronfa32990
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first_indexed 2017-04-12T13:04:59Z
last_indexed 2018-02-09T05:21:31Z
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spelling 2017-05-08T11:16:34Z v2 32990 2017-04-12 Recognition, Tracking, and Optimisation Mark Jones Mark Jones true 0000-0001-8991-1190 false 2e1030b6e14fc9debd5d5ae7cc335562 dda0c29127c698255a4c2b822dd94125 uiPdnV+XNibOpUxFjI3lXQgr5y2nBRz3haj4DmVVDsQ= 2017-04-12 SCS 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 computer vision offers reliable quantitative solutions. Advances in fundamental methods, such as learning algorithm and feature representation, are essential in performing these tasks, as the papers in this special issue show. Journal article International Journal of Computer Vision 0920-5691 1573-1405 0 5 2017 2017-05-01 10.1007/s11263-017-1008-8 College of Science Computer Science CSCI SCS None None 2017-05-08T11:16:34Z 2017-04-12T10:21:05Z College of Science Computer Science Xianghua Xie 1 Mark W. Jones 0000-0001-8991-1190 2 Gary Tam 3
title Recognition, Tracking, and Optimisation
spellingShingle Recognition, Tracking, and Optimisation
Jones, Mark
title_short Recognition, Tracking, and Optimisation
title_full Recognition, Tracking, and Optimisation
title_fullStr Recognition, Tracking, and Optimisation
title_full_unstemmed Recognition, Tracking, and Optimisation
title_sort Recognition, Tracking, and Optimisation
author_id_str_mv 2e1030b6e14fc9debd5d5ae7cc335562
author_id_fullname_str_mv 2e1030b6e14fc9debd5d5ae7cc335562_***_Jones, Mark
author Jones, Mark
author2 Xianghua Xie
Mark W. Jones
Gary Tam
format Journal article
container_title International Journal of Computer Vision
publishDate 2017
institution Swansea University
issn 0920-5691
1573-1405
doi_str_mv 10.1007/s11263-017-1008-8
college_str College of Science
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hierarchy_top_id collegeofscience
hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
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description 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 computer vision offers reliable quantitative solutions. Advances in fundamental methods, such as learning algorithm and feature representation, are essential in performing these tasks, as the papers in this special issue show.
published_date 2017-05-01T04:50:09Z
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score 10.868379