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2013 (Vol. 5, Issue: 4)
Article Information:

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

Ahmed Mahgoub Ahmed Talab, Zhangcan Huang
Corresponding Author:  Ahmed Mahgoub Ahmed Talab 

Key words:  Background extraction, mean algorithm, object tracking, surveillance, three difference algorithm, ,
Vol. 5 , (4): 43-47
Submitted Accepted Published
September 24, 2013 October 30, 2013 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.
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  Cite this Reference:
Ahmed Mahgoub Ahmed Talab, Zhangcan Huang, 2013. Moving Object Tracking based on Background Extraction Using Mean Algorithm and Three Temporal Difference Algorithm.  Research Journal of Mathematics and Statistics, 5(4): 43-47.
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ISSN (Online):  2040-7505
ISSN (Print):   2042-2024
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