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The Scientific World Journal
Volume 2014, Article ID 670953, 17 pages
http://dx.doi.org/10.1155/2014/670953
Research Article

Human Body 3D Posture Estimation Using Significant Points and Two Cameras

Department of Electrical Engineering, National Chung Hsing University, Taichung 402, Taiwan

Received 22 November 2013; Accepted 29 December 2013; Published 30 April 2014

Academic Editors: Y. Deng and X. Ding

Copyright © 2014 Chia-Feng Juang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Ya Liu, Xincheng Tian, and Xiaolong Xu, “Posture estimation system by IMM-based unscented Kalman filters,” 2017 Chinese Automation Congress (CAC), pp. 2363–2368, . View at Publisher · View at Google Scholar
  • Nong Thi Hoa, and The Duy Bui, “Classifying human body postures by a two-neuron fuzzy neural network,” 2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), pp. 142–146, . View at Publisher · View at Google Scholar
  • Pritha Ganguly, Sourav Saha, and Subhajit Chaudhury, “Vision based human pose estimation for virtual cloth fitting,” ACM International Conference Proceeding Series, vol. 14, 2014. View at Publisher · View at Google Scholar
  • Robert Koprowski, “Automatic analysis of the trunk thermal images from healthy subjects and patients with faulty posture,” Computers in Biology and Medicine, 2015. View at Publisher · View at Google Scholar
  • Nguyen Van Tao, Nong Thi Hoa, and Quach Xuan Truong, “Classifying human body postures by a support vector machine with two simple features,” Advances in Intelligent Systems and Computing, vol. 538, pp. 188–196, 2017. View at Publisher · View at Google Scholar