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Objects Tracking in Images Sequence using Local Binary Pattern (LBP)

by H. Rami, M. Hamri, Lh. Masmoudi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 20
Year of Publication: 2013
Authors: H. Rami, M. Hamri, Lh. Masmoudi
10.5120/10582-5288

H. Rami, M. Hamri, Lh. Masmoudi . Objects Tracking in Images Sequence using Local Binary Pattern (LBP). International Journal of Computer Applications. 63, 20 ( February 2013), 19-23. DOI=10.5120/10582-5288

@article{ 10.5120/10582-5288,
author = { H. Rami, M. Hamri, Lh. Masmoudi },
title = { Objects Tracking in Images Sequence using Local Binary Pattern (LBP) },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 20 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number20/10582-5288/ },
doi = { 10.5120/10582-5288 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:14:52.142483+05:30
%A H. Rami
%A M. Hamri
%A Lh. Masmoudi
%T Objects Tracking in Images Sequence using Local Binary Pattern (LBP)
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 20
%P 19-23
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we present a method for objects tracking in images sequence. This approach is achieved into two main steps. In the first one, we constructed the Local Binary Pattern (LBP) histogram pattern of each image in the sequence and the reference pattern. In the second one, we perform the algorithm by the pattern selected based on a distance measures to find similarity between two histograms. The maximum LBP histogram distance gives best results than the chi-square one. The proposed approach has been tested on synthetic and real sequence images and the results are satisfactory.

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Index Terms

Computer Science
Information Sciences

Keywords

Sequence image Computer vision Tracking LBP histogram chi-square distance

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