TY - GEN
T1 - Clustering of human actions using invariant body shape descriptor and dynamic time warping
AU - Pierobon, Massimiliano
AU - Marcon, Marco
AU - Sarti, Augusto
AU - Tubaro, Stefano
PY - 2005
Y1 - 2005
N2 - We propose a human action clustering method based on a 3D representation of the body in terms of volumetric coordinates. Features representing body postures are extracted directly from 3D data, making the system inherently insensitive to viewpoint dependence, motion ambiguities and self-occlusions. An Invariant Shape Descriptor of human body is obtained in order to capture only posture-dependent characteristics, despite possible differences in translation, orientation, scale and body size. Frame-by-frame descriptions, generated from a gesture sequence, are collected together in matrices. Clustering of action matrices is eventually performed, and through a Dynamic Time Warping (while computing the distance metric), we gain independence from possible temporal nonlinear distortions among different instances of the same gesture.
AB - We propose a human action clustering method based on a 3D representation of the body in terms of volumetric coordinates. Features representing body postures are extracted directly from 3D data, making the system inherently insensitive to viewpoint dependence, motion ambiguities and self-occlusions. An Invariant Shape Descriptor of human body is obtained in order to capture only posture-dependent characteristics, despite possible differences in translation, orientation, scale and body size. Frame-by-frame descriptions, generated from a gesture sequence, are collected together in matrices. Clustering of action matrices is eventually performed, and through a Dynamic Time Warping (while computing the distance metric), we gain independence from possible temporal nonlinear distortions among different instances of the same gesture.
UR - http://www.scopus.com/inward/record.url?scp=33846992276&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33846992276&partnerID=8YFLogxK
U2 - 10.1109/AVSS.2005.1577237
DO - 10.1109/AVSS.2005.1577237
M3 - Conference contribution
AN - SCOPUS:33846992276
SN - 0780393856
SN - 9780780393851
T3 - IEEE International Conference on Advanced Video and Signal Based Surveillance - Proceedings of AVSS 2005
SP - 22
EP - 27
BT - IEEE Conference on Advanced Video and Signal Based Based Surveillance - Proceedings of AVSS 2005
T2 - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2005
Y2 - 15 September 2005 through 16 September 2005
ER -