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The Scientific World Journal
Volume 2014 (2014), Article ID 196415, 8 pages
http://dx.doi.org/10.1155/2014/196415
Research Article

Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle

Graduate School of Electrical Engineering, University of Ulsan, Ulsan 680-749, Republic of Korea

Received 9 April 2014; Revised 7 June 2014; Accepted 8 June 2014; Published 10 July 2014

Academic Editor: Yu-Bo Yuan

Copyright © 2014 Joko Hariyono 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 [3 citations]

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

  • Emna Fendri, Rania Rebai Boukhriss, and Mohamed Hammami, “Fusion of thermal infrared and visible spectra for robust moving object detection,” Pattern Analysis and Applications, 2017. View at Publisher · View at Google Scholar
  • Joko Hariyono, and Kang-Hyun Jo, “Detection of pedestrian crossing road: A study on pedestrian pose recognition,” Neurocomputing, vol. 234, pp. 144–153, 2017. View at Publisher · View at Google Scholar
  • Wenjie Song, Yi Yang, Mengyin Fu, Fan Qiu, and Meiling Wang, “Real-Time Obstacles Detection and Status Classification for Collision Warning in a Vehicle Active Safety System,” IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 3, pp. 758–773, 2018. View at Publisher · View at Google Scholar