Real-time detection of crossing pedestrians for traffic-adaptive signal control

Vignesh Bhuvaneshwar, Pitu Mirchandani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

In this paper we propose an approach to detect and count pedestrians at an intersection, in real-time, using a fixed camera. After identifying moving objects in sequential images via motion segmentation, median filtering and erosion/dilation operations are performed to suppress noise. Connected component extraction is then employed to extract and label the moving objects in the image. The binary foreground region of each component is projected onto the axis perpendicular to its major axis to obtain a vertical projection histogram from which shadows can be detected, extracted and suppressed. Information about the size and coordinates of each component is then utilized to compute the number of people in the scene.

Original languageEnglish (US)
Title of host publicationIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Pages309-313
Number of pages5
StatePublished - 2004
Externally publishedYes
EventProceedings - 7th International IEEE Conference on Intelligent Transportation Systems, ITSC 2004 - Washington, DC, United States
Duration: Oct 3 2004Oct 6 2004

Other

OtherProceedings - 7th International IEEE Conference on Intelligent Transportation Systems, ITSC 2004
CountryUnited States
CityWashington, DC
Period10/3/0410/6/04

Keywords

  • Connected component extraction
  • Pedestrian detection
  • Projection histogram

ASJC Scopus subject areas

  • Engineering(all)

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