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FOLK DANCE PATTERN RECOGNITION OVER DEPTH IMAGES ACQUIRED VIA KINECT SENSOR
- Source :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2/W3, Pp 587-593 (2017), ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Publication Year :
- 2017
- Publisher :
- Copernicus Publications, 2017.
-
Abstract
- The possibility of accurate recognition of folk dance patterns is investigated in this paper. System inputs are raw skeleton data, provided by a low cost sensor. In particular, data were obtained by monitoring three professional dancers, using a Kinect II sensor. A set of six traditional Greek dances (without their variations) consists the investigated data. A two-step process was adopted. At first, the most descriptive skeleton data were selected using a combination of density based and sparse modelling algorithms. Then, the representative data served as training set for a variety of classifiers.
- Subjects :
- lcsh:Applied optics. Photonics
Training set
business.industry
lcsh:T
Process (computing)
lcsh:TA1501-1820
020207 software engineering
Pattern recognition
02 engineering and technology
lcsh:Technology
Set (abstract data type)
Density based
Geography
lcsh:TA1-2040
Pattern recognition (psychology)
0202 electrical engineering, electronic engineering, information engineering
Folk dance
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Unsupervised clustering
business
lcsh:Engineering (General). Civil engineering (General)
Subjects
Details
- Language :
- English
- ISSN :
- 21949034 and 16821750
- Database :
- OpenAIRE
- Journal :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Accession number :
- edsair.doi.dedup.....e4553a5abaf0e500711aa41a8d397dae