Journal article 836 views
Recognition, Tracking, and Optimisation
International Journal of Computer Vision, Volume: 122, Issue: 3, Pages: 409 - 410
Swansea University Authors: Xianghua Xie , Mark Jones
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DOI (Published version): 10.1007/s11263-017-1008-8
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...
Published in: | International Journal of Computer Vision |
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ISSN: | 0920-5691 1573-1405 |
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2017
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URI: | https://cronfa.swan.ac.uk/Record/cronfa32785 |
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2017-07-25T16:31:24.5593933 v2 32785 2017-03-29 Recognition, Tracking, and Optimisation b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2e1030b6e14fc9debd5d5ae7cc335562 0000-0001-8991-1190 Mark Jones Mark Jones true false 2017-03-29 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 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. Journal Article International Journal of Computer Vision 122 3 409 410 0920-5691 1573-1405 31 12 2017 2017-12-31 10.1007/s11263-017-1008-8 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2017-07-25T16:31:24.5593933 2017-03-29T10:13:03.2836919 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Xianghua Xie 0000-0002-2701-8660 1 Mark Jones 0000-0001-8991-1190 2 Gary Tam 3 |
title |
Recognition, Tracking, and Optimisation |
spellingShingle |
Recognition, Tracking, and Optimisation Xianghua Xie Mark Jones |
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 |
b334d40963c7a2f435f06d2c26c74e11 2e1030b6e14fc9debd5d5ae7cc335562 |
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b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie 2e1030b6e14fc9debd5d5ae7cc335562_***_Mark Jones |
author |
Xianghua Xie Mark Jones |
author2 |
Xianghua Xie Mark Jones Gary Tam |
format |
Journal article |
container_title |
International Journal of Computer Vision |
container_volume |
122 |
container_issue |
3 |
container_start_page |
409 |
publishDate |
2017 |
institution |
Swansea University |
issn |
0920-5691 1573-1405 |
doi_str_mv |
10.1007/s11263-017-1008-8 |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer 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 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. |
published_date |
2017-12-31T03:40:18Z |
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1763751827512229888 |
score |
11.016235 |