DocumentCode
263325
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
fYear
2014
fDate
14-17 Dec. 2014
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Security and Defense Applications (CISDA), 2014 Seventh IEEE Symposium on
Conference_Location
Hanoi
Type
conf
DOI
10.1109/CISDA.2014.7035635
Filename
7035635
Link To Document