Key frame extraction and classification of human activities using motion energy

Adama, D.A. ORCID: 0000-0002-2650-857X, Lotfi, A. ORCID: 0000-0002-5139-6565 and Langensiepen, C. ORCID: 0000-0002-0165-9048, 2019. Key frame extraction and classification of human activities using motion energy. In: A. Lotfi, H. Bouchachia, A. Gegov, C. Langensiepen and M. McGinnity, eds., Advances in computational intelligence systems: contributions presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham. Advances in intelligent systems and computing (AISC), 840 . Cham: Springer, pp. 303-311. ISBN 9783319979816

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Item Type:	Chapter in book
Creators:	Adama, D.A., Lotfi, A. and Langensiepen, C.
Publisher:	Springer
Place of Publication:	Cham
Date:	2019
Volume:	840
ISBN:	9783319979816
ISSN:	2194-5357
Identifiers:	Number Type 10.1007/978-3-319-97982-3_25 DOI 678783 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	20 Aug 2018 12:29
Last Modified:	21 Feb 2023 10:24
URI:	https://irep.ntu.ac.uk/id/eprint/34360

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