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The Scientific World Journal
Volume 2014, Article ID 810185, 10 pages
http://dx.doi.org/10.1155/2014/810185
Research Article

The Complex Action Recognition via the Correlated Topic Model

1School of Information Science and Engineering, Central South University, ChangSha, Hunan 410075, China
2School of Traffic and Transportation Engineering, ChangSha University of Science & Technology, ChangSha, Hunan 410004, China

Received 1 October 2013; Accepted 5 December 2013; Published 16 January 2014

Academic Editors: F. Fernández de Vega and P.-A. Hsiung

Copyright © 2014 Hong-bin Tu 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 [9 citations]

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

  • Wei Wei, Chonghui Guo, Jingfeng Chen, and Zhen Zhang, “Textual topic evolution analysis based on term co-occurrence: A case study on the government work report of the State Council (1954–2017),” 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), pp. 1–6, . View at Publisher · View at Google Scholar
  • Julia Seiter, Oliver Amft, Mirco Rossi, and Gerhard Tröster, “Discovery of activity composites using topic models: An analysis of unsupervised methods,” Pervasive and Mobile Computing, 2014. View at Publisher · View at Google Scholar
  • Chern Hong Lim, Ekta Vats, and Chee Seng Chan, “Fuzzy human motion analysis: A review,” Pattern Recognition, 2014. View at Publisher · View at Google Scholar
  • Hong-bin Tu, and Li-min Xia, “The Approach for Action Recognition Based on the Reconstructed Phase Spaces,” The Scientific World Journal, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Jun Wang, Limin Xia, and Shengping Xia, “Human behavior recognition using generative model,” Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, vol. 38, no. 2, pp. 68–74, 2016. View at Publisher · View at Google Scholar
  • Maryam Nabil Al-Berry, Mohammed A. -M. Salem, Hala Mousher Ebeid, Ashraf S. Hussein, and Mohammed F. Tolba, “Fusing directional wavelet local binary pattern and moments for human action recognition,” Iet Computer Vision, vol. 10, no. 2, pp. 153–162, 2016. View at Publisher · View at Google Scholar
  • Zhikang Liu, and Zilei Wang, “Action recognition with low observational latency via part movement model,” Multimedia Tools and Applications, 2016. View at Publisher · View at Google Scholar
  • Ouiza Ouyed, and Mohand Said Allili, “Feature Weighting for Multinomial Kernel Logistic Regression and Application to Action Recognition,” Neurocomputing, 2017. View at Publisher · View at Google Scholar
  • Pongsagorn Chalearnnetkul, and Nikom Suvonvorn, “Multiview Layer Fusion Model for Action Recognition Using RGBD Images,” Computational Intelligence and Neuroscience, vol. 2018, pp. 1–22, 2018. View at Publisher · View at Google Scholar