Human Shape Recognition Algorithm Design Based on Hu Moments and Zernike Moments
- 10.2991/icmmita-16.2016.160How to use a DOI?
- Hu moments; Zernike moments; human shape recognition; invariant moments.
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.
- © 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 - 10.2991/icmmita-16.2016.160 ID - Chen2017/01 ER -