Stereo matching in spatio-temporal accumulation for the estimation of vehicular mean speed

Nicolas Laverde, Francisco Calderon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Measuring the speed of vehicles in a road is of great importance in the planning and regulation of traffic. This article shows a recent method of capture the video, which greatly reduces the computational complexity of an algorithm for estimating the average speed of a road. The basis of the processing technique used, consists in accumulating sections each video frame in a matrix, in which one dimension corresponds to a section accumulated in a video frame, usually a line the space dimension and the other dimension to each video frame the timedimension. The accumulation is done on vertical or horizontal lines and the resulting matrix can be seen as a new image. If an accumulation in done on the spatio-temporal video two lines spaced by a known distance, vehicle speed can be estimated calculating the difference of this on the time axis of the two resulting images. This document shows the results of applying common techniques in stereo matching to the problem of matching images resulting from the space-time accumulation, used for estimating the average speed of a road.

Original languageEnglish
Title of host publicationSTSIVA 2012 - 17th Symposium of Image, Signal Processing, and Artificial Vision
Pages148-152
Number of pages5
DOIs
StatePublished - 2012
Event17th Symposium of Image, Signal Processing, and Artificial Vision, STSIVA 2012 - Medellin, Colombia
Duration: 12 Sep 201214 Sep 2012

Publication series

NameSTSIVA 2012 - 17th Symposium of Image, Signal Processing, and Artificial Vision

Conference

Conference17th Symposium of Image, Signal Processing, and Artificial Vision, STSIVA 2012
Country/TerritoryColombia
CityMedellin
Period12/09/1214/09/12

Keywords

  • Computer Vision
  • Spatio-temporal Accumulation
  • Stereo Matching
  • Vehicular Traffic Variables

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