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The Scientific World Journal
Volume 2013, Article ID 405645, 11 pages
http://dx.doi.org/10.1155/2013/405645
Research Article

Multi-Scale Locality-Constrained Spatiotemporal Coding for Local Feature Based Human Action Recognition

College of Information System and Manage, National University of Defense Technology, 109 Deya Road, Changsha, Hunan 410073, China

Received 2 July 2013; Accepted 21 August 2013

Academic Editors: R. Haber, P. Melin, and Y. Zhu

Copyright © 2013 Bin Wang 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 [6 citations]

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

  • Bardia Yousefi, and Chu Kiong Loo, “Development of Biological Movement Recognition by Interaction between Active Basis Model and Fuzzy Optical Flow Division,” The Scientific World Journal, vol. 2014, pp. 1–14, 2014. View at Publisher · View at Google Scholar
  • Bardia Yousefi, and Chu Kiong Loo, “Comparative Study on Interaction of Form and Motion Processing Streams by Applying Two Different Classifiers in Mechanism for Recognition of Biological Movement,” The Scientific World Journal, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Tingting Yao, Zhiyong Wang, Zhao Xie, David Dagan Feng, and Jun Gao, “Discovering commonness and specificness for human action recognition,” HuEvent 2015 - Proceedings of the 2nd International Workshop on Human-Centered Event Understanding from Multimedia, co-located with MM 2015, pp. 7–12, 2015. View at Publisher · View at Google Scholar
  • Wanhyun Cho, Sangkyoon Kim, Soonyoung Park, and Myungeun Lee, “Human action classification using procrustes shape theory,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 9405, 2015. View at Publisher · View at Google Scholar
  • Zheng Ma, Mei Xie, and Jiangfeng Yang, “Action recognition based on multi-scale oriented neighborhood features,” International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 8, no. 1, pp. 241–254, 2015. 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