Acquisition of pedestrian trajectory using on-board monocular camera

This paper presents a general algorithm for pedestrian detection by on-board monocular camera which can be applied to cameras of various view ranges. Under the assumption that motion of background can be nearly approximated as a linear function, the Spatio-Temporal MRF (S-T MRF) model extracts foreground objects as a Region of Interest (ROI). As the foreground objects contain both pedestrians and non-pedestrians, those ROIs are verified by a cascaded classifier. However, the segmentation results sometime do not exactly match with pedestrian on image due to inconstant motion of human leg or merged motion with urban objects. The authors improved the performance of their system by contaminating errors included in foreground objects using sequential information of ROI. This feedback algorithm drastically decreases the false negative rate. Also, pedestrian trajectory was acquired with high accuracy by referring geometric coordinates. The authors expect the trajectory could be used as a useful source for measuring the possibility of collision with pedestrian.

• Record URL:
  https://doi.org/10.1109/ITSC.2011.6083023
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6069628
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Kim, HyungKwan
  • Shibayama, Y
  • Kamijo, S
• Conference:
  • 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)
  • Location: Washington DC, United States
  • Date: 2011-10-5 to 2011-10-7
• Publication Date: 2011-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 544-549
• Monograph Title: 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)

Subject/Index Terms

• TRT Terms: Algorithms; Cameras; Detection and identification; Driver support systems; Pedestrian vehicle crashes; Pedestrians
• Uncontrolled Terms: Pedestrian trajectories
• Subject Areas: Design; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01566300
• Record Type: Publication
• ISBN: 9781457721984
• Files: TRIS
• Created Date: Jun 13 2015 3:03PM