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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 876451, 9 pages
http://dx.doi.org/10.1155/2014/876451
Research Article

A Multistep Framework for Vision Based Vehicle Detection

1School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
2Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

Received 1 May 2014; Revised 17 July 2014; Accepted 11 August 2014; Published 27 August 2014

Academic Editor: Yantao Shen

Copyright © 2014 Hai Wang and Yingfeng Cai. 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 [2 citations]

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

  • Yingfeng Cai, Hai Wang, Long Chen, and Haobin Jiang, “Robust vehicle recognition algorithm using visual saliency and deep convolutional neural networks,” Jiangsu Daxue Xuebao (Ziran Kexue Ban)/Journal of Jiangsu University (Natural Science Edition), vol. 36, no. 3, pp. 331–336, 2015. View at Publisher · View at Google Scholar
  • Hai Wang, Xiaobo Chen, Li Gao, Long Chen, and Yingfeng Cai, “Vehicle detection based on visual saliency and deep sparse convolution hierarchical model,” Chinese Journal of Mechanical Engineering (English Edition), vol. 29, no. 4, pp. 765–772, 2016. View at Publisher · View at Google Scholar