Paper
22 October 1993 Pedestrian counting system robust against illumination changes
Atsushi Sato, Kenji Mase, Akira Tomono, Ken'ichiro Ishii
Author Affiliations +
Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157882
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Atsushi Sato, Kenji Mase, Akira Tomono, and Ken'ichiro Ishii "Pedestrian counting system robust against illumination changes", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157882
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Cited by 1 scholarly publication.
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KEYWORDS
RGB color model

Image processing

Binary data

Cameras

Sensors

3D image processing

Image analysis

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