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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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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...

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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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first_indexed 2017-03-29T13:47:21Z
last_indexed 2018-02-09T05:21:05Z
id cronfa32785
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spelling 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
author_id_fullname_str_mv 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
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title 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
document_store_str 0
active_str 0
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
_version_ 1763751827512229888
score 10.997593

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