Camilleri, D. and Prescott, T.J. orcid.org/0000-0003-4927-5390 (2018) Action recognition with unsynchronised multi-sensory data. In: 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 18-21 Sep 2017, Lisbon, Portugal. IEEE , pp. 53-59. ISBN 9781538637166
Abstract
Action recognition is a multi-faceted challenge that requires solving three principal challenges in its design: Synchronization, Segmentation and Uncertainty, all of which have specific implications to classification performance and possible solutions to mitigate these implications. We subsequently use observations carried out during the training of an action recognition system to generalize to the challenges encountered in the classification of any time-dependant signal.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number European Commission - FP6/FP7 WYSIWYD - 612139 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Nov 2019 09:56 |
Last Modified: | 22 Nov 2019 03:10 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/devlrn.2017.8329787 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153707 |