The Use of Uncalibrated Roadside CCTV Cameras to Estimate Mean Traffic Speed

Dailey, Daniel J.; Cathey, Frederick W.; Pumrin, Suree; Washington State Transportation Center; University of Washington. Dept. of Electrical Engineering

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The Use of Uncalibrated Roadside CCTV Cameras to Estimate Mean Traffic Speed

2001-12-01
By Dailey, Daniel J. ; Cathey, Frederick W. ; Pumrin, Suree

[PDF-437.94 KB]

English

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Alternative Title:

Final Research Report: CCTV Cameras as Quantitative Speed Sensors: T1803-21 Uncalibrated CCTV [Cover alternate title]
Creators:

Dailey, Daniel J. ; Cathey, Frederick W. ; Pumrin, Suree

Dailey, Daniel J. ; Cathey, Frederick W. ; Pumrin, Suree Less -
Corporate Creators:

Washington State Transportation Center ; University of Washington. Dept. of Electrical Engineering

Washington State Transportation Center ; University of Washington. Dept. of Electrical Engineering Less -
Corporate Contributors:

Washington State Transportation Commission ; Transportation Northwest Regional Center X (TransNow) (UTC) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; Washington (State). Department of Transportation

Washington State Transportation Commission ; Transportation Northwest Regional Center X (TransNow) (UTC) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; Washington (State). Department of Transportation Less -
Subject/TRT Terms:

[+]

Calibration Cameras Geometric Elements Speed Detectors Speeding Speed Limits Traffic Safety Vehicle Length Distribution Video Image Processing Video Imaging Detectors
Resource Type:

Tech Report
Geographical Coverage:

Washington
Corporate Publisher:

Washington State Transportation Center
Abstract:

In this report, we present a novel approach for estimating traffic speed using a sequence of images from an un-calibrated camera. We assert that exact calibration is not necessary to estimate speed. Instead, to estimate speed, we use: (1) geometric relationships inherently available in the image, (2) some common sense assumptions that reduce the problem to a 1-D geometry, (3) frame differencing to isolate moving edges and track vehicles between frames, and

(4) parameters from the distribution of vehicle lengths.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:ed1998855f8f31461364b5c915af8ad89f26b44742b6aad7c3b89024db8ed3bd
Download URL:

https://rosap.ntl.bts.gov/view/dot/14762/dot_14762_DS1.pdf
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The Use of Uncalibrated Roadside CCTV Cameras to Estimate Mean Traffic Speed

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