TY - GEN
T1 - Action recognition using completed local binary patterns and multiple-class boosting classifier
AU - Yang, Yun
AU - Zhang, Baochang
AU - Yang, Linlin
AU - Chen, Chen
AU - Yang, Wankou
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/6/7
Y1 - 2016/6/7
N2 - This paper, for the first time, introduces a multiple-class boosting scheme (MBS) to combine depth motion maps (DMMs) and completed local binary patterns (CLBP) for action recognition. DMMs derive from projecting depth frames onto three orthogonal Cartesian planes (front, side and top) and characterize the motion energy of an action, on which the CLBP features are further extracted. And then a new multi-class boosting method is used and leads to an effective decision-level classifier. Extensive experiments on the MSRAction3D and MSRGesture3D datasets indicate that the proposed MBS method achieves new state-of-the-art results.
AB - This paper, for the first time, introduces a multiple-class boosting scheme (MBS) to combine depth motion maps (DMMs) and completed local binary patterns (CLBP) for action recognition. DMMs derive from projecting depth frames onto three orthogonal Cartesian planes (front, side and top) and characterize the motion energy of an action, on which the CLBP features are further extracted. And then a new multi-class boosting method is used and leads to an effective decision-level classifier. Extensive experiments on the MSRAction3D and MSRGesture3D datasets indicate that the proposed MBS method achieves new state-of-the-art results.
UR - https://www.scopus.com/pages/publications/84978864758
U2 - 10.1109/ACPR.2015.7486521
DO - 10.1109/ACPR.2015.7486521
M3 - 会议稿件
AN - SCOPUS:84978864758
T3 - Proceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
SP - 336
EP - 340
BT - Proceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
Y2 - 3 November 2016 through 6 November 2016
ER -