Coupled hidden conditional random fields for RGB-D human action recognition-Reference-Cited by-同舟云学术

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Coupled hidden conditional random fields for RGB-D human action recognition

Published:2015-07 Issue: Volume:112 Page:74-82
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Liu An-An,Nie Wei-Zhi,Su Yu-Ting,Ma Li,Hao Tong,Yang Zhao-Xuan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference61 articles.

1. Accurate estimation of human body orientation from rgb-d sensors;Liu;IEEE Trans. Cybern.,2013

2. W. Nie, A. Liu, Y. Su, H. Luan, Z. Yang, L. Cao, R. Ji, Single/cross-camera multiple-person tracking by graph matching, Neurocomputing 139 (2014) 220–232, http://dx.doi.org/10.1016/j.neucom.2014.02.040.

3. Robust human body segmentation based on part appearance and spatial constraint;Huang;Neurocomputing,2013

4. Z. Gao, H. Zhang, G. Xu, Y. Xue, Multi-perspective and multi-modality joint representation and recognition model for 3d action recognition, Neurocomputing, 2014 (in press).

5. A. Liu, Y. Su, P. Jia, Z. Gao, T. Hao, Z. Yang, Multipe/single-view human action recognition via part-induced multi-task structural learning, IEEE Trans. Cybern. http://dx.doi.org/10.1109/TCYB.2014.2347057, in press

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