Knowledge discovery in choreographic data using Relative Motion matrices and Dynamic Time Warping
- Author
- Seyed Hossein Chavoshi (UGent) , Bernard De Baets (UGent) , Tijs Neutens (UGent) , Hyowon Ban, Ola Ahlqvist, Guy De Tré (UGent) and Nico Van de Weghe (UGent)
- Organization
- Keywords
- Similarity analysis, EVENTS, DTW, REMO, Moving point object, Motion pattern, SERIES, PATTERNS, RECOGNITION, BLUETOOTH
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-4361272
- MLA
- Chavoshi, Seyed Hossein, et al. “Knowledge Discovery in Choreographic Data Using Relative Motion Matrices and Dynamic Time Warping.” APPLIED GEOGRAPHY, vol. 47, 2014, pp. 111–24, doi:10.1016/j.apgeog.2013.12.007.
- APA
- Chavoshi, S. H., De Baets, B., Neutens, T., Ban, H., Ahlqvist, O., De Tré, G., & Van de Weghe, N. (2014). Knowledge discovery in choreographic data using Relative Motion matrices and Dynamic Time Warping. APPLIED GEOGRAPHY, 47, 111–124. https://doi.org/10.1016/j.apgeog.2013.12.007
- Chicago author-date
- Chavoshi, Seyed Hossein, Bernard De Baets, Tijs Neutens, Hyowon Ban, Ola Ahlqvist, Guy De Tré, and Nico Van de Weghe. 2014. “Knowledge Discovery in Choreographic Data Using Relative Motion Matrices and Dynamic Time Warping.” APPLIED GEOGRAPHY 47: 111–24. https://doi.org/10.1016/j.apgeog.2013.12.007.
- Chicago author-date (all authors)
- Chavoshi, Seyed Hossein, Bernard De Baets, Tijs Neutens, Hyowon Ban, Ola Ahlqvist, Guy De Tré, and Nico Van de Weghe. 2014. “Knowledge Discovery in Choreographic Data Using Relative Motion Matrices and Dynamic Time Warping.” APPLIED GEOGRAPHY 47: 111–124. doi:10.1016/j.apgeog.2013.12.007.
- Vancouver
- 1.Chavoshi SH, De Baets B, Neutens T, Ban H, Ahlqvist O, De Tré G, et al. Knowledge discovery in choreographic data using Relative Motion matrices and Dynamic Time Warping. APPLIED GEOGRAPHY. 2014;47:111–24.
- IEEE
- [1]S. H. Chavoshi et al., “Knowledge discovery in choreographic data using Relative Motion matrices and Dynamic Time Warping,” APPLIED GEOGRAPHY, vol. 47, pp. 111–124, 2014.
@article{4361272,
author = {{Chavoshi, Seyed Hossein and De Baets, Bernard and Neutens, Tijs and Ban, Hyowon and Ahlqvist, Ola and De Tré, Guy and Van de Weghe, Nico}},
issn = {{0143-6228}},
journal = {{APPLIED GEOGRAPHY}},
keywords = {{Similarity analysis,EVENTS,DTW,REMO,Moving point object,Motion pattern,SERIES,PATTERNS,RECOGNITION,BLUETOOTH}},
language = {{eng}},
pages = {{111--124}},
title = {{Knowledge discovery in choreographic data using Relative Motion matrices and Dynamic Time Warping}},
url = {{http://doi.org/10.1016/j.apgeog.2013.12.007}},
volume = {{47}},
year = {{2014}},
}
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