Revista de Ingeniería

revinge | eISSN 2011-0049 | ISSN 0121-4993

Acquisition of Vehicular Traffic Variables using Computer Vision

No. 30 (2009-11-01)
  • Germán Enrique Urrego
    Ingeniero Electrónico. Pontificia Universidad Javeriana. Bogotá D.C., Colombia. gurrego@javeriana.edu.co
  • Francisco Carlos Calderón
    Ingeniero Electrónico. Pontificia Universidad Javeriana. Bogotá D.C., Colombia. calderonf@javeriana.edu.co
  • Alejandro Forero
    M.Sc. Profesor Asistente, Departamento de Electrónica, Facultad de Ingeniería, Pontificia Universidad Javeriana. Bogotá D.C., Colombia. alejandro.forero@javeriana.edu.co
  • Julián Armando Quiroga
    M.Sc. Profesor Asistente, Departamento de Electrónica, Facultad de Ingeniería, Pontificia Universidad Javeriana. Bogotá D.C., Colombia. quiroga.j@javeriana.edu.co
https://doi.org/10.16924/revinge.30.1

Abstract

The count of vehicles is a key task in traffic gauging, as it provides information for designing new roads, and for the control and optimization of urban traffic. Nowadays in cities like Bogota, vehicle counting is done manually, but it can also be done automatically using computer vision techniques. This article presents the development of an algorithm for detecting and tracking vehicles in real time from video. The algorithm allows to count vehicles on the road and to estimate traffic volume or average speed.

Keywords: Computer vision, traffic engineering