Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Human Action Recognition based on Human skeleton Hu invariant moments combined with human geometrical characteristics

Authors
Qing Ye, Xinran Guo, Yongmei Zhang
Corresponding Author
Qing Ye
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.317How to use a DOI?
Keywords
Human action recognition, Moving object detection, Geometric characteristics of the human body, Human skeleton Hu invariant moments, K-nearest neighbor.
Abstract

Human action recognition is a highly active research topic in the field of video surveillance, human computer interaction and other fields. Due to the huge amount of computation, many existence methods fail in real-time applications. In this paper, we proposed a human action recognition method based on human skeleton Hu invariant moments combined with human geometrical characteristics. Firstly, foreground is extracted by the inter-frame difference and background subtraction. Secondly, human skeleton Hu invariant moments, the minimum bounding rectangle aspect ratio, rectangularity and circularity are calculated. Finally, human actions are recognized by the K-nearest neighbor. Experimental results in Weizmann action datasets show that this method can accurately identify human actions and has good real-time performance. The proposed method can be applied to real-time intelligent video surveillance with high accuracy.

Copyright
© 2017, 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 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/fmsmt-17.2017.317
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.317How to use a DOI?
Copyright
© 2017, 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  - Qing Ye
AU  - Xinran Guo
AU  - Yongmei Zhang
PY  - 2017/04
DA  - 2017/04
TI  - Human Action Recognition based on Human skeleton Hu invariant moments combined with human geometrical characteristics
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1628
EP  - 1632
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.317
DO  - 10.2991/fmsmt-17.2017.317
ID  - Ye2017/04
ER  -