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Proceedings Paper

Pedestrian counting system robust against illumination changes
Author(s): Atsushi Sato; Kenji Mase; Akira Tomono; Ken'ichiro Ishii
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Paper Abstract

This paper presents a realtime pedestrian counting system based on x-t spacetime image analysis. The system counts the number of pedestrians through the combination of three processes: moving object extraction, object counting by region labeling, and direction detection by flow estimation. In order to extract objects reliably under various illumination changes, we propose new moving objects extraction methods that extract moving regions whose shadows have been eliminated by using adaptive background image reconstruction and the color information processing of the images. For labeling and flow estimation, we use the Ortho-sectioning method that analyzes extracted regions on a spacetime slice image of the original three dimensional volume. Experimental results confirm the robustness of the system against illumination changes.

Paper Details

Date Published: 22 October 1993
PDF: 12 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157882
Show Author Affiliations
Atsushi Sato, NTT Human Interface Labs. (Japan)
Kenji Mase, NTT R&D Information and Patent Ctr. (Japan)
Akira Tomono, NTT Human Interface Labs. (Japan)
Ken'ichiro Ishii, NTT Human Interface Labs. (Japan)


Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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