TY - CPAPER
KW - Classification (of information)
KW - Depth camera
KW - Folk dances
KW - Intangible cultural heritage
KW - Intangible cultural heritages
KW - Musculoskeletal system
KW - Pattern recognition
KW - Skeleton data
KW - Three dimensional computer graphics
KW - Unsupervised clustering
AU - Eftychios Protopapadakis
AU - Athina Grammatikopoulou
AU - Anastasios Doulamis
AU - Nikos Grammalidis
AB - 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.
C2 - Int. Arch. Photogramm., Remote Sens. Spat. Inf. Sci. - ISPRS Arch.
DO - 10.5194/isprs-archives-XLII-2-W3-587-2017
LA - English
N1 - Issue: 2W3 Journal Abbreviation: Int. Arch. Photogramm., Remote Sens. Spat. Inf. Sci. - ISPRS Arch.
N2 - 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.
PB - International Society for Photogrammetry and Remote Sensing
PY - 2017
SN - 16821750 (ISSN)
SP - 587
EP - 593
TI - Folk dance pattern recognition over depth images acquired via kinect sensor
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021761345&doi=10.5194%2fisprs-archives-XLII-2-W3-587-2017&partnerID=40&md5=970340ae2c477b04242b161b10d28a91
VL - 42-2
ER -