Comparison of Background Subtraction methods
Imane Benraya, Nadjia Benblidia · 2018 International Conference on Applied Smart Systems (ICASS) · 2018
This article presents a comparative study of the most known background subtraction methods and which are widely used in the computer vision. This is achieved by means of the mask extraction quality of the foreground using these methods, in order to provide a solid analysis to highlight the advantages and disadvantages of the aforementioned methods through background subtraction. Simulation have been performed using MATLAB and visual studio.