Title :
An efficient LBP-based descriptor for real-time object detection
Author :
Tran Nguyen Ngoc
Author_Institution :
Dept. of Comput. Sci., Le Quy Don Tech. Univ., Hanoi, Vietnam
Abstract :
This paper presents a novel method for interest region description which is based on the idea that the appearance of an interest region can be well characterized by the distribution of its local features. We introduce a new texture feature called Grid of Local Binary Patterns (GoLBP) that is a modified version of the well-known Local Binary Pattern (LBP) feature. Experiments show that, the proposed descriptor can be used for the real-time vehicle detection in Vietnam.
Keywords :
image texture; object detection; GoLBP; LBP-based descriptor; grid of local binary pattern; interest region description; real-time object detection; texture feature; Conferences; Face detection; Feature extraction; Histograms; Object detection; Real-time systems;
Conference_Titel :
Computational Intelligence for Security and Defense Applications (CISDA), 2014 Seventh IEEE Symposium on
Conference_Location :
Hanoi
DOI :
10.1109/CISDA.2014.7035635