An Algorithm to Estimate Mean Traffic Speed Using Uncalibrated Cameras

被引：177
作者：
机构：
[1] Department of Electrical Engineering, University of Washington, Seattle
[2] Department of Electrical Engineering, University of Washington, Seattle, WA
[3] University of Washington, Seattle, WA
[4] King Mongkut's Inst. of Technology, Ladkrabang
[5] Arizona State University, Tempe, AZ
来源：
Dailey, D.J. (dan@ee.washington.edu) | 2000年 / Institute of Electrical and Electronics Engineers Inc., 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States卷 / 01期
关键词：
Calibration; Camera; Speed sensor; Vehicle-length distribution; Video-image processing;
D O I：
10.1109/6979.880967
中图分类号：
学科分类号：
摘要：
In this paper, we present a novel approach to estimate traffic speed using a sequence of images from an uncalibrated camera. We assert that exact calibration is not necessary to estimate speed. Instead, we use 1) geometric relationships inherently available in the image, 2) some common-sense assumptions that reduce the problem to a one-dimensional (1-D) geometry, 3) frame differencing to isolate moving edges and track vehicles between frames, and 4) parameters from the distribution of vehicle lengths, to estimate speed.
引用
收藏
页码：98 / 107
页数：9
相关论文
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