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Title:

A Correlation Technique for Estimating Traffic Speed from Cameras

Abstract:

This paper presents a new algorithm to estimate Speed from roadside cameras in uncongested traffic, congested traffic, favorable weather conditions, and adverse weather conditions. Individual vehicle lanes are identified and horizontal vehicle features are emphasized using a gradient operator. The features are projected into a one-dimensional subspace and transformed into a linear coordinate system using a simple camera model. A correlation technique is used to summarize the movement of features through a group of images and estimate mean speed for each lane of vehicles.

Source(s):

82nd Transportation Research Board (TRB) Annual Meeting, University of Washington. For an electronic copy of this resource, please direct your request to WeatherFeedback@dot.gov.

Date: 2003

Author:

Schoepflin, Dailey

Keywords:


Closed Circuit Television (CCTV)
Speed

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