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

並列摘要


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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