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Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera
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 v...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292149/ https://www.ncbi.nlm.nih.gov/pubmed/22399909 http://dx.doi.org/10.3390/s100504805 |
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author | Doğan, Sedat Temiz, Mahir Serhan Külür, Sıtkı |
author_facet | Doğan, Sedat Temiz, Mahir Serhan Külür, Sıtkı |
author_sort | Doğan, Sedat |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3292149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32921492012-03-07 Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera Doğan, Sedat Temiz, Mahir Serhan Külür, Sıtkı Sensors (Basel) Article 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. Molecular Diversity Preservation International (MDPI) 2010-05-11 /pmc/articles/PMC3292149/ /pubmed/22399909 http://dx.doi.org/10.3390/s100504805 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an Open Access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Doğan, Sedat Temiz, Mahir Serhan Külür, Sıtkı Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera |
title | Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera |
title_full | Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera |
title_fullStr | Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera |
title_full_unstemmed | Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera |
title_short | Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera |
title_sort | real time speed estimation of moving vehicles from side view images from an uncalibrated video camera |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292149/ https://www.ncbi.nlm.nih.gov/pubmed/22399909 http://dx.doi.org/10.3390/s100504805 |
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