Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Human Shape Recognition Algorithm Design Based on Hu Moments and Zernike Moments

Authors
Weiguo Chen, Jinchuan Lu
Corresponding Author
Weiguo Chen
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.160How to use a DOI?
Keywords
Hu moments; Zernike moments; human shape recognition; invariant moments.
Abstract

The invariant moment feature of target is taken as an important approach to human shape recognition. This paper gives a general review of Hu moments and Zernike moments in human shape recognition, and utilizes the minimum distance classifier to classify some moving targets. By comparing their characteristics in specific applications, this paper provides some basis for the selection of invariant moments in human shape recognition algorithm.

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 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
10.2991/icmmita-16.2016.160
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.160How 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  - Weiguo Chen
AU  - Jinchuan Lu
PY  - 2017/01
DA  - 2017/01
TI  - Human Shape Recognition Algorithm Design Based on Hu Moments and Zernike Moments
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 858
EP  - 864
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.160
DO  - https://doi.org/10.2991/icmmita-16.2016.160
ID  - Chen2017/01
ER  -