Local Binary Pattern (LBP) with application to variant object detection: A survey and method

Abstract

This paper study about variants object detection by using local binary pattern. Local binary pattern is one of the famous method in object detection field because of its success used in object detection. The objective of object detection is to differentiate between object and background. However, LBP also has its own weaknesses in object detection. LBP modification that been proposed by a lot of researchers can overcome the weaknesses. In this paper, variants of local binary pattern method and modification has been study and analyze. All those local binary pattern modification has been extract its feature in term of object detection. The modifications are Non-Redundant Local Binary Pattern (NRLBP), Integral Local Binary Pattern (INTLBP), Multi-scale Block Local Binary Pattern (MBLBP) and Discriminative Robust Local Binary Pattern (DRLBP).