A Stereo-based Pedestrian Detection System for Smart Intersection

This paper introduces a stereo-based pedestrian detection system for smart intersection applications. Promising for real-time usage, a detector with sliding window approach is employed. In order to reduce scanning time, stereo cameras are utilized. Firstly, the system generates a disparity image from calibrated left and right images. Then, searching regions of interest (ROI) for pedestrians are obtained by clustering the disparity information. Finally, a raster scan is applied to all of the ROI and their scaled copies. For distance measurement, the authors developed a fast and accurate algorithm called Inverted Phase Filter (IPF), which can measure the disparity at sub-pixel level fast. Furthermore, for pedestrian classification, a novel feature – Staggered multi-scale LBP (Local Binary Pattern) histogram – is proposed. Evaluation results show that the proposed feature outperforms benchmarks like HOG and CoHOG on Panasonic night-time dataset and Daimler Chrysler dataset.

  • Supplemental Notes:
    • Abstract reprinted with permission from Intelligent Transportation Society of America.
  • Corporate Authors:

    ITS America

    1100 17th Street, NW, 12th Floor
    Washington, DC  United States  20036
  • Authors:
    • Cao, Yunyun
    • Pranata, Sugiri
    • Yasugi, Makoto
    • Niu, Zhiheng
    • Nishimura, Hirofumi
  • Conference:
  • Publication Date: 2012

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; Photos; References; Tables;
  • Pagination: 8p
  • Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

Filing Info

  • Accession Number: 01499136
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Nov 18 2013 4:25PM