Iterative Improvement of Human Pose Classification Using Guide Ontology-Reference-Cited by-同舟云学术

Iterative Improvement of Human Pose Classification Using Guide Ontology

Published:2016 Issue:1 Volume:E99.D Page:236-247
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

TASHIRO Kazuhiro¹,KAWAMURA Takahiro¹²,SEI Yuichi¹,NAKAGAWA Hiroyuki³,TAHARA Yasuyuki¹,OHSUGA Akihiko¹

Affiliation:

1. Graduate School of Information System, The University of Electro-Communications

2. Department of Information Planning, Japan Science and Technology Agency

3. Graduate School of Information Science and Technology, Osaka University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E99.D/1/E99.D_2015EDP7067/_pdf

Reference14 articles.

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3. [3] G. Mori, X. Ren, A.A. Efros, and J. Malik, “Recovering human body configurations: Combining segmentation and recognition,” Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'04, Washington, DC, USA, pp.326-333, IEEE Computer Society, 2004.

4. [4] X. Zhang, M. Ye, Y. Xu, and Z. Tian, “Locally adaptive combining colour and depth for human body contour tracking using level set method,” IET Computer Vision, IET, vol.8, no.4, pp.316-328, 2014.

5. [5] M.A. Fischler and R.A. Elschlager, “The representation and matching of pictorial structures,” IEEE Trans. Comput., vol.22, no.1, pp.67-92, Jan. 1973.