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     Research Journal of Mathematics and Statistics


Moving Object Tracking based on Background Extraction Using Mean Algorithm and Three Temporal Difference Algorithm

1, 2Ahmed Mahgoub Ahmed Talab, 1Zhangcan Huang
1School of Sciences, Wuhan University of Technology, Wuhan, China
2College of Engineering, Elimam ELMahdi University, Kosti, Sudan
Research Journal of Mathematics and Statistics  2013  4:43-47
http://dx.doi.org/10.19026/rjms.5.5804  |  © The Author(s) 2013
Received: September 24, 2013  |  Accepted: October 30, 2013  |  Published: November 30, 2013

Abstract

In this study, we propose a new tracking method that uses Three Temporal Difference (TTD) and the Mean Algorithm (MA) to approach the tracking of an object. TTD method is used for continuous image subtraction while the MA method is used for the extraction of Background image. The proposed method was compared with different methods used in the field; the comparison clearly shows that the method is reliable, quickly and precise. This method has the advantage that it is fast and successfully tracks the objects and extract background image, also no shadow and noise was associated with the application of the method. Experimental work shows that our method is improved relatively to the other widely used techniques.

Keywords:

Background extraction, mean algorithm, object tracking, surveillance, three difference algorithm,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7505
ISSN (Print):   2042-2024
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