Qualitative and quantitative spatio-temporal relations in daily living activity recognition

Tayyub, J, Tavanai, A, Gatsoulis, Y et al. (2 more authors) (2015) Qualitative and quantitative spatio-temporal relations in daily living activity recognition. In: Cremers, D, Reid, I, Saito, H and Yang, M-H, (eds.) Computer Vision -- ACCV 2014 12th Asian Conference on Computer Vision 2014, Revised Selected Papers, Part V. 12th Asian Conference on Computer Vision, 1-5 November 2014, Singapore. Lecture Notes in Computer Science . Springer Verlag , 115 - 130. ISBN 9783319168135

Abstract

Metadata

Authors/Creators:
  • Tayyub, J
  • Tavanai, A
  • Gatsoulis, Y
  • Cohn, AG
  • Hogg, DC
Copyright, Publisher and Additional Information: © 2015 Springer. This is an author produced version of a paper subsequently published in Lecture notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-16814-2_8
Dates:
  • Published: 2015
  • 9 April 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Funding Information:
FunderGrant number
EU - European Union287752
EU - European UnionFP7-ICT-600623
Depositing User: Symplectic Publications
Date Deposited: 12 Oct 2015 11:28
Last Modified: 20 Apr 2016 08:18
Published Version: http://dx.doi.org/10.1007/978-3-319-16814-2_8
Status: Published
Publisher: Springer Verlag
Series Name: Lecture Notes in Computer Science
Identification Number: https://doi.org/10.1007/978-3-319-16814-2_8

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