Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)

Human Action Recognition Based on RGB-D and Local Interactive Regions Detection

Authors
Suolan Liu, Lizhi Kong
Corresponding Author
Suolan Liu
Available Online May 2018.
DOI
10.2991/sser-18.2018.17How to use a DOI?
Keywords
Action; RGB-D; Interactive regions; Recognition
Abstract

We propose a novel method to recognize human actions by fusing information from RGB-D sensors. Human action recognition is a challenging task because of the complexity movements, the variety of actions performed by different subjects and the changes of view and illumination. We propose to detect human motion from body parts by extracting sets of spatial-temporal interest points from RGB sequence and projecting them into depth map. Then, extract local interactive regions as supplementary information for action recognition. An improve classifier based on linear SVM coupled with dynamic time warping is developed for classification. We evaluate our method on two public datasets, including MSRDailyActivity3D dataset and ReadingAct RGB-D action dataset.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2018
ISBN
978-94-6252-535-1
ISSN
2352-5398
DOI
10.2991/sser-18.2018.17How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Suolan Liu
AU  - Lizhi Kong
PY  - 2018/05
DA  - 2018/05
TI  - Human Action Recognition Based on RGB-D and Local Interactive Regions Detection
BT  - Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)
PB  - Atlantis Press
SP  - 81
EP  - 85
SN  - 2352-5398
UR  - https://doi.org/10.2991/sser-18.2018.17
DO  - 10.2991/sser-18.2018.17
ID  - Liu2018/05
ER  -