An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos

Caroline Silva (1) , Thierry Bouwmans (1) , Carl Frélicot (1)

1 MIA - Mathématiques, Image et Applications - EA 3165

In this paper, we propose an eXtended Center-Symmetric Local Binary Pattern (XCS-LBP) descriptor for background modeling and subtraction in videos. By combining the strengths of the original LBP and the similar CS ones, it appears to be robust to illumination changes and noise, and produces short histograms, too. The experiments conducted on both synthetic and real videos (from the Background Models Challenge) of outdoor urban scenes under various conditions show that the proposed XCS-LBP outperforms its direct competitors for the background subtraction task.

Mots clés: Background subtraction; Local binary patterns; Background modeling

Domaines: Traitement des images [eess.IV]

Caroline Silva, Thierry Bouwmans, Carl Frélicot. An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISAPP 2015, Mar 2015, Berlin, Germany. ⟨10.5220/0005266303950402⟩. ⟨hal-01227955⟩