TY - GEN
T1 - Optimizing orthonormal basis bilinear spatiotemporal representation for motion data
AU - Skurowski, Przemysław
AU - Socała, Jolanta
AU - Wojciechowski, Konrad
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - The paper describes an attempt to estimate the optimal division of a number of base vectors between space (shape) and time (trajectory) for bilinear spatiotemporal representation ofmotion capture data. The spatiotemporal model is amatrix consisting of Ks · Kt amount of coefficients. In the paper we discuss using of orthonormal spatial and temporal basis: PCA-PCA, DCT-DCT, PCA-DCT and DCT-PCA to represent real MoCap data.
AB - The paper describes an attempt to estimate the optimal division of a number of base vectors between space (shape) and time (trajectory) for bilinear spatiotemporal representation ofmotion capture data. The spatiotemporal model is amatrix consisting of Ks · Kt amount of coefficients. In the paper we discuss using of orthonormal spatial and temporal basis: PCA-PCA, DCT-DCT, PCA-DCT and DCT-PCA to represent real MoCap data.
KW - Bilinear model
KW - Motion capture
KW - Motion data
KW - Spatiotemporal representation
UR - https://www.scopus.com/pages/publications/84983175071
U2 - 10.1007/978-3-319-23437-3_31
DO - 10.1007/978-3-319-23437-3_31
M3 - Conference contribution
AN - SCOPUS:84983175071
SN - 9783319234366
T3 - Advances in Intelligent Systems and Computing
SP - 365
EP - 375
BT - Man–Machine Interactions - 4th International Conference on Man–Machine Interactions, ICMMI 2015
A2 - Czachórski, Tadeusz
A2 - Gruca, Aleksandra
A2 - Brachman, Agnieszka
A2 - Kozielski, Stanisław
A2 - Czachórski, Tadeusz
PB - Springer Verlag
T2 - 4th International Conference on Man–Machine Interactions, ICMMI 2015
Y2 - 6 October 2015 through 9 October 2015
ER -