Paper
1 February 1990 Traffic Flow Measuring System Using Image Processing
Masao Takatoo, Tadaaki Kitamura, Yoshiyuki Okuyama, Yoshiki Kobayashi, Kuniyuki Kikuchi, Hiroshi Nakanishi, Toshiro Shibata
Author Affiliations +
Proceedings Volume 1197, Automated Inspection and High-Speed Vision Architectures III; (1990) https://doi.org/10.1117/12.969946
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
We have developed a prototype for a traffic flow measuring system using image processing. The system measures traffic flow parameters such as vehicles' average speed and their spatial occupancy directly from road images. Its features are summarized as follows: (1) The system can stably extract the vehicles using the subtraction-spatial differentiation method and the background updating method, which considers the change ratio of the road brightness under changing surrounding conditions. (2) The system can track vehicles moving as fast as 150 km/h employing real-time gray scale image processing and parallel image features extraction of the HITACHI-IP/200 image processor. (3) In experimental applications to an expressway, the system had good accuracy in the traffic flow measurements, with errors within 10%, even under bad conditions at dusk.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Masao Takatoo, Tadaaki Kitamura, Yoshiyuki Okuyama, Yoshiki Kobayashi, Kuniyuki Kikuchi, Hiroshi Nakanishi, and Toshiro Shibata "Traffic Flow Measuring System Using Image Processing", Proc. SPIE 1197, Automated Inspection and High-Speed Vision Architectures III, (1 February 1990); https://doi.org/10.1117/12.969946
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Cited by 22 scholarly publications.
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KEYWORDS
Image processing

Roads

Inspection

Algorithm development

Feature extraction

Computing systems

Cameras

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