Abstract: Background extraction is a crucial step in many automatic video content analysis applications. In this articled, we recommend a new tracking method that uses two image sequences and single Gaussian method to approach the tracking of an object. The two image sequence is the use of a series image subtraction. The single Gaussian method consists of single Gaussian distributions, the average, standard deviation and weight. This paper combined the single Gaussian method and two image sequence object tracking. 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’s background image, also no shadow and noise was associated with the application for the approach. Empirical work shows that our method is enhanced relatively to the other widely used techniques.
Keywords: Background extraction, Single Gaussian method, two images Sequence, Objects tracking.
Title: Moving Objects Tracking Established On Background Extraction Using Two Image Sequence and Single Gaussian Method
Author: Ahmed Mahgoub Ahmed Talab
International Journal of Mathematics and Physical Sciences Research
ISSN 2348-5736 (Online)
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