Automatic annotation of traditional dance data using motion features

Full text for this resource is not available from the Research Repository.

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.

Item type Conference or Workshop Item (Paper)
URI http://vuir.vu.edu.au/id/eprint/39732
Identification Number https://doi.org/10.1109/ICDAMT.2017.7904972
Official URL https://ieeexplore.ieee.org/document/7904972
ISBN 9781509052103
Subjects Current > 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 5 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login