CFP last date
20 December 2024
Reseach Article

Estimating Speed of Vehicle using Centroid Method in MATLAB

by Pratishtha Gupta, G N Purohit, Manisha Rathore
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 14
Year of Publication: 2014
Authors: Pratishtha Gupta, G N Purohit, Manisha Rathore
10.5120/17880-8451

Pratishtha Gupta, G N Purohit, Manisha Rathore . Estimating Speed of Vehicle using Centroid Method in MATLAB. International Journal of Computer Applications. 102, 14 ( September 2014), 1-8. DOI=10.5120/17880-8451

@article{ 10.5120/17880-8451,
author = { Pratishtha Gupta, G N Purohit, Manisha Rathore },
title = { Estimating Speed of Vehicle using Centroid Method in MATLAB },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 14 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number14/17880-8451/ },
doi = { 10.5120/17880-8451 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:04.494164+05:30
%A Pratishtha Gupta
%A G N Purohit
%A Manisha Rathore
%T Estimating Speed of Vehicle using Centroid Method in MATLAB
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 14
%P 1-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Vehicle speed estimation is very important dimension for observing speed limitation law and observing traffic conditions within city. This document aims to present a new approach for finding speed of vehicle by using Centroid method technique. In this study, the captured traffic images are collected from a stationary camera mounted on a freeway or at the junctions. These images are used for calculating speed for a particular vehicle by calculating Centroid value of vehicle. Using Centroid value, distance traveled by vehicle is calculated. After finding distance covered by vehicle in specific time duration, speed of vehicle is calculated. This approach is implemented in MATLAB by using image processing functions. Estimating speed of vehicle in traffic surveillance helps in preventing accidental cases, congestion control at junction and marinating traffic discipline within city.

References
  1. A G Rad, A Dehghani and M R Karim," Vehicle speed detection in video image sequences using CVS method", International Journal of Physical and Science, Vol. 5(17), pp. 2555-2563, 18 December, 2010
  2. K Shedbalkar, A P Dhamangaonkar and A B Patil," Speed estimation using extended Kalman filter for PMSM", IEEE conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012,pp-433 to 435
  3. A V Leite, R E Araujo and D Freitas ," A new approach for speed estimation in induction motor drives based on a reduced-order extended Kalman filter", IEEE International Symposium on Industrial Electronics, vol-2, 2004, pp-1221-1226
  4. N Kassem, A. E. Kosba and M Youssef," RF-Based Vehicle Detection and Speed Estimation ", IEEE 75th conference on Vehicular Technology, pp-1-5
  5. V. K. Madasu and M. Hanmandlu," Estimation of vehicle speed by motion tracking on image sequences", Intelligent Vehicles Symposium, 2010 IEEE, pp 185 – 190
  6. H. A. Rahim, R. B. Ahmad, A. S. M. Zain and U. U. Sheikh," An adapted point based tracking for vehicle speed estimation in linear spacing ", IEEE International conference on Computer and Communication Engineering (ICCCE), 2010, pp 1-4.
  7. S. Barnwal, R Barnwal, R Hegde and R Sing," Doppler based speed estimation of vehicles using passive sensor ", IEEE international conference on Multimedia and expo workshops, 2013, pp 1-4
Index Terms

Computer Science
Information Sciences

Keywords

Vehicle speed estimation Centroid Method MATLAB Congestion Traffic