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Measurement of Displacement and Velocity of a Moving Object from Real Time Video

by Pritam Das, Ranjit Ghoshal, Dipak Kumar Kole, Rabindranath Ghosh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 13
Year of Publication: 2012
Authors: Pritam Das, Ranjit Ghoshal, Dipak Kumar Kole, Rabindranath Ghosh
10.5120/7685-0992

Pritam Das, Ranjit Ghoshal, Dipak Kumar Kole, Rabindranath Ghosh . Measurement of Displacement and Velocity of a Moving Object from Real Time Video. International Journal of Computer Applications. 49, 13 ( July 2012), 12-16. DOI=10.5120/7685-0992

@article{ 10.5120/7685-0992,
author = { Pritam Das, Ranjit Ghoshal, Dipak Kumar Kole, Rabindranath Ghosh },
title = { Measurement of Displacement and Velocity of a Moving Object from Real Time Video },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 13 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number13/7685-0992/ },
doi = { 10.5120/7685-0992 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:47:05.856999+05:30
%A Pritam Das
%A Ranjit Ghoshal
%A Dipak Kumar Kole
%A Rabindranath Ghosh
%T Measurement of Displacement and Velocity of a Moving Object from Real Time Video
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 13
%P 12-16
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This article focuses on an efficient algorithm for measuring object displacement and velocity from real time video. The proposed technique for object identification and tracking is based on background subtraction with optimized threshold binarization. Mapping techniques have been developed to relate image with real world. The algorithm is also capable of working with a bad lighting conditions using histogram equalization approach. Further, the real scenarios like presence of noise, shadow, and multiple moving object environments have been taken under consideration for developing the algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Video Capture Histogram Equalization CLAHE Binarization Background Estimation Background Subtraction Mapping Camera Coverage Camera Span Displacement and Velocity Memory Management Time Complexity

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