TY - GEN
T1 - View-invariant gesture recognition using nonparametric shape descriptor
AU - Wu, Xingyu
AU - Mao, Xia
AU - Chen, Lijiang
AU - Xue, Yuli
AU - Compare, Angelo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/4
Y1 - 2014/12/4
N2 - In this paper we propose a new method for view-invariant gesture recognition, based on what we call nonparametric shape descriptor. We represent gestures as 3D motion trajectories and then we prove that the shape of a trajectory is equivalent to the Euclidean distances between all its points. The set of point-to-point distances description is mapped to a high-dimensional kernel space by kernel principal component analysis (KPCA), and then nonparametric discriminant analysis (NDA) is used to extract the view-invariant shape features as the input for pattern classification. The algorithm is performed on a public dataset, and shows better view-invariant performance than other state-of-the-art methods.
AB - In this paper we propose a new method for view-invariant gesture recognition, based on what we call nonparametric shape descriptor. We represent gestures as 3D motion trajectories and then we prove that the shape of a trajectory is equivalent to the Euclidean distances between all its points. The set of point-to-point distances description is mapped to a high-dimensional kernel space by kernel principal component analysis (KPCA), and then nonparametric discriminant analysis (NDA) is used to extract the view-invariant shape features as the input for pattern classification. The algorithm is performed on a public dataset, and shows better view-invariant performance than other state-of-the-art methods.
KW - Gesture and behavior analysis
KW - Human computer interaction
KW - Motion
KW - Tracking and video analysis
UR - https://www.scopus.com/pages/publications/84919913803
U2 - 10.1109/ICPR.2014.104
DO - 10.1109/ICPR.2014.104
M3 - 会议稿件
AN - SCOPUS:84919913803
T3 - Proceedings - International Conference on Pattern Recognition
SP - 544
EP - 549
BT - Proceedings - International Conference on Pattern Recognition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Pattern Recognition, ICPR 2014
Y2 - 24 August 2014 through 28 August 2014
ER -