Part-based face detection using SLBP

Jeonghyun Baek; Jisu Kim; Euntai Kim

doi:10.1109/ICCAS.2014.6987799

Part-based face detection using SLBP

Jeonghyun Baek, Jisu Kim, Euntai Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Face detection is one of the important issues in Human Computer Interaction (HCI). In face detection, Local Binary Pattern (LBP) feature is popularly used because of its invariant for rotation and lighting condition. In this paper, we propose part-based face detection method using Skin-Color LBP (SLBP). The proposed feature SLBP shows better performance than LBP because it contains not only appearance information but also color information. And we enhance detection process by limiting face search area based on head-shoulder detection results. Experiments are performed with INIRA dataset.

Original language	English
Title of host publication	International Conference on Control, Automation and Systems
Publisher	IEEE Computer Society
Pages	1501-1503
Number of pages	3
ISBN (Electronic)	9788993215069
DOIs	https://doi.org/10.1109/ICCAS.2014.6987799
Publication status	Published - 2014 Dec 16
Event	2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of Duration: 2014 Oct 22 → 2014 Oct 25

Publication series

Name	International Conference on Control, Automation and Systems
ISSN (Print)	1598-7833

Other

Other	2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
Country	Korea, Republic of
City	Gyeonggi-do
Period	14/10/22 → 14/10/25

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCAS.2014.6987799

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Cite this

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title = "Part-based face detection using SLBP",

abstract = "Face detection is one of the important issues in Human Computer Interaction (HCI). In face detection, Local Binary Pattern (LBP) feature is popularly used because of its invariant for rotation and lighting condition. In this paper, we propose part-based face detection method using Skin-Color LBP (SLBP). The proposed feature SLBP shows better performance than LBP because it contains not only appearance information but also color information. And we enhance detection process by limiting face search area based on head-shoulder detection results. Experiments are performed with INIRA dataset.",

author = "Jeonghyun Baek and Jisu Kim and Euntai Kim",

note = "Publisher Copyright: {\textcopyright} 2014 Institute of Control, Robotics and Systems (ICROS). Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 ; Conference date: 22-10-2014 Through 25-10-2014",

year = "2014",

month = dec,

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doi = "10.1109/ICCAS.2014.6987799",

language = "English",

series = "International Conference on Control, Automation and Systems",

publisher = "IEEE Computer Society",

pages = "1501--1503",

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Baek, J, Kim, J & Kim, E 2014, Part-based face detection using SLBP. in International Conference on Control, Automation and Systems., 6987799, International Conference on Control, Automation and Systems, IEEE Computer Society, pp. 1501-1503, 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014, Gyeonggi-do, Korea, Republic of, 14/10/22. https://doi.org/10.1109/ICCAS.2014.6987799

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T1 - Part-based face detection using SLBP

AU - Baek, Jeonghyun

AU - Kim, Jisu

AU - Kim, Euntai

PY - 2014/12/16

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N2 - Face detection is one of the important issues in Human Computer Interaction (HCI). In face detection, Local Binary Pattern (LBP) feature is popularly used because of its invariant for rotation and lighting condition. In this paper, we propose part-based face detection method using Skin-Color LBP (SLBP). The proposed feature SLBP shows better performance than LBP because it contains not only appearance information but also color information. And we enhance detection process by limiting face search area based on head-shoulder detection results. Experiments are performed with INIRA dataset.

AB - Face detection is one of the important issues in Human Computer Interaction (HCI). In face detection, Local Binary Pattern (LBP) feature is popularly used because of its invariant for rotation and lighting condition. In this paper, we propose part-based face detection method using Skin-Color LBP (SLBP). The proposed feature SLBP shows better performance than LBP because it contains not only appearance information but also color information. And we enhance detection process by limiting face search area based on head-shoulder detection results. Experiments are performed with INIRA dataset.

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