
Proceedings Paper
Classification of similar but differently paced activities in the KTH datasetFormat | Member Price | Non-Member Price |
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Paper Abstract
The KTH video dataset [1] contains three activities - walking, jogging and running - which are very similar but are carried out at a different natural pace. We show that explicit inclusion of a feature which may be interpreted as a measure of the overall state of motion in a frame improves a classifier's ability to discriminate between these activities.
Paper Details
Date Published: 14 February 2015
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944519 (14 February 2015); doi: 10.1117/12.2180570
Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944519 (14 February 2015); doi: 10.1117/12.2180570
Show Author Affiliations
Shreeya Sengupta, Univ. of Ulster (United Kingdom)
Hui Wang, Univ. of Ulster (United Kingdom)
Hui Wang, Univ. of Ulster (United Kingdom)
Piyush Ojha, Univ. of Ulster (United Kingdom)
William Blackburn, Univ. of Ulster (United Kingdom)
William Blackburn, Univ. of Ulster (United Kingdom)
Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)
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