Automatic annotation of traditional dance data using motion features
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Chaudhry, Huma 
ORCID: 0000-0002-3324-228X, Tabia, K, Rahim, SA and BenFerhat, Salem
(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) |
| URI | https://vuir.vu.edu.au/id/eprint/39732 |
| DOI | 10.1109/ICDAMT.2017.7904972 |
| Official URL | https://ieeexplore.ieee.org/document/7904972 |
| ISBN | 9781509052103 |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Current > Division/Research > College of Science and Engineering |
| Keywords | motion capture; motion classification; computer recognition; computer vision; dance annotation; algorithm; video; classifiers; kNN; TreeBagger |
| Citations in Scopus | 9 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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