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The Scientific World Journal
Volume 2013, Article ID 153465, 14 pages
http://dx.doi.org/10.1155/2013/153465
Research Article

Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations

1Department of Visual Information Processing, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Republic of Korea
2Office of Naval Research, Arlington, VA 22203, USA
3School of Electrical Engineering, Korea University, Engineering Buliding, Room 419, Anam-dong, Seongbuk-gu, Seoul 136-713, Republic of Korea

Received 21 August 2013; Accepted 29 September 2013

Academic Editors: U. M. Braga-Neto, G. Jovanovic Dolecek, and Z.-L. Sun

Copyright © 2013 Younghyun Lee 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 [4 citations]

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

  • Taeyup Song, Kyungsun Lee, and Hanseok Ko, “Visual voice activity detection via chaos based lip motion measure robust under illumination changes,” IEEE Transactions on Consumer Electronics, vol. 60, no. 2, pp. 251–257, 2014. View at Publisher · View at Google Scholar
  • Taha H. Rassem, and Bee Ee Khoo, “Completed Local Ternary Pattern for Rotation Invariant Texture Classification,” Scientific World Journal, 2014. View at Publisher · View at Google Scholar
  • Khongbantabam Susila Devi, and Ravi, “A new feature selection algorithm for efficient spam filtering using Adaboost and hashing techniques,” Indian Journal of Science and Technology, vol. 8, no. 13, 2015. View at Publisher · View at Google Scholar
  • Meeras Salman Al-Shemarry, Yan Li, and Shahab Abdulla, “Ensemble of AdaBoost Cascades of 3L-LBPs Classifiers for License Plates Detection with Low Quality Images,” Expert Systems with Applications, 2017. View at Publisher · View at Google Scholar