Sensors 2010, 10(5), 4805-4824; doi:10.3390/s100504805
Article

Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera

1 Department of Geodesy and Photogrammetry, Engineering Faculty, Ondokuz Mayis University, 55 139 Kurupelit, Samsun, Turkey 2 Department of Geodesy and Photogrammetry, Civil Engineering Faculty, Istanbul Technical University, 80 626 Maslak, Istanbul, Turkey
* Author to whom correspondence should be addressed.
Received: 28 December 2009; in revised form: 12 April 2010 / Accepted: 22 April 2010 / Published: 11 May 2010
(This article belongs to the Section Physical Sensors)
PDF Full-text Download PDF Full-Text [575 KB, uploaded 11 May 2010 10:47 CEST]
Abstract: In order to estimate the speed of a moving vehicle with side view camera images, velocity vectors of a sufficient number of reference points identified on the vehicle must be found using frame images. This procedure involves two main steps. In the first step, a sufficient number of points from the vehicle is selected, and these points must be accurately tracked on at least two successive video frames. In the second step, by using the displacement vectors of the tracked points and passed time, the velocity vectors of those points are computed. Computed velocity vectors are defined in the video image coordinate system and displacement vectors are measured by the means of pixel units. Then the magnitudes of the computed vectors in image space should be transformed to the object space to find the absolute values of these magnitudes. This transformation requires an image to object space information in a mathematical sense that is achieved by means of the calibration and orientation parameters of the video frame images. This paper presents proposed solutions for the problems of using side view camera images mentioned here.
Keywords: vehicle speed estimation; video; traffic monitoring; optical flow

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Doğan, S.; Temiz, M.S.; Külür, S. Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera. Sensors 2010, 10, 4805-4824.

AMA Style

Doğan S, Temiz MS, Külür S. Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera. Sensors. 2010; 10(5):4805-4824.

Chicago/Turabian Style

Doğan, Sedat; Temiz, Mahir Serhan; Külür, Sıtkı. 2010. "Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera." Sensors 10, no. 5: 4805-4824.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert