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Automatic annotation of traditional dance data using motion features

Chaudhry, Huma ORCID: 0000-0002-3324-228X, Tabia, K, Rahim, SA and BenFerhat, S (2017) Automatic annotation of traditional dance data using motion features. In: International Conference on Digital Arts, Media and Technology (ICDAMT), 1 Mar 2017 - 4 Mar 2017, Chiang Mai, Thailand.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9781509052103
Uncontrolled Keywords: motion capture; motion classification; computer recognition; computer vision; dance annotation; algorithm; video; classifiers; kNN; TreeBagger
Subjects: Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 27 Oct 2019 22:26
Last Modified: 27 Oct 2019 22:26
URI: http://vuir.vu.edu.au/id/eprint/39732
DOI: https://doi.org/10.1109/ICDAMT.2017.7904972
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Citations in Scopus: 5 - View on Scopus

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