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The Scientific World Journal
Volume 2014 (2014), Article ID 424050, 9 pages
http://dx.doi.org/10.1155/2014/424050
Research Article

An Improved Mixture-of-Gaussians Background Model with Frame Difference and Blob Tracking in Video Stream

Computer Science and Engineering Department, Southeast University, Nanjing 211189, China

Received 29 August 2013; Accepted 10 March 2014; Published 10 April 2014

Academic Editors: J. Shu and F. Yu

Copyright © 2014 Li Yao and Miaogen Ling. 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 [3 citations]

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

  • Karpagavalli P., and Ramprasad A. V., “An adaptive hybrid GMM for multiple human detection in crowd scenario,” Multimedia Tools and Applications, 2016. View at Publisher · View at Google Scholar
  • Thiemo Alldieck, Chris H. Bahnsen, and Thomas B. Moeslund, “Context-aware fusion of RGB and thermal imagery for traffic monitoring,” Sensors (Switzerland), vol. 16, no. 11, 2016. View at Publisher · View at Google Scholar
  • Jelena Ivanova, Henning Kampe, Xiangpeng Liu, and Axel Gräser, “Vision based recognition and tracking of green asparagus in ambient light,” At-Automatisierungstechnik, vol. 65, no. 4, pp. 280–292, 2017. View at Publisher · View at Google Scholar