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Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection

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Bibliographic Details
Main Author: Sundaraj, Kenneth
Other Authors: kenneth@unimap.edu.my
Format: Article
Language:English
Published: World Scientific and Engineering Academy and Society (WSEAS) 2009
Subjects:
Background modeling
Biometric identification
Face detection
Face biometrics
Biometrics
Image processing > Digital techniques
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7413
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spelling my.unimap-74132009-12-29T07:17:48Z Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection Sundaraj, Kenneth kenneth@unimap.edu.my Background modeling Biometric identification Face detection Face biometrics Biometrics Image processing -- Digital techniques Link to publisher's homepage at http://www.worldses.org Face biometrics is an automated method of recognizing a person's face based on a physiological or behavioral characteristic. Face recognition works by first obtaining an image of a person. This process is usually known as face detection. In this paper, we describe an approach for face detection that is able to locate a human face embedded in an outdoor or indoor background. Segmentation of novel or dynamic objects in a scene, often referred to as background subtraction or foreground segmentation, is a critical early step in most computer vision applications in domains such as surveillance and human-computer interaction. All previous implementations aim to handle properly one or more problematic phenomena, such as global illumination changes, shadows, highlights, foreground-background similarity, occlusion and background clutter. Satisfactory results have been obtained but very often at the expense of real-time performance. We propose a method for modeling the background that uses per-pixel time-adaptive Gaussian mixtures in the combined input space of pixel color and pixel neighborhood. We add a safety net to this approach by splitting the luminance and chromaticity components in the background and use their density functions to detect shadows and highlights. Several criteria are then combined to discriminate foreground and background pixels. Our experiments show that the proposed method possesses robustness to problematic phenomena such as global illumination changes, shadows and highlights, without sacrificing real-time performance, making it well-suited for a live video event like face biometric that requires face detection and recognition. 2009-12-14T06:28:36Z 2009-12-14T06:28:36Z 2008 Article WSEAS Transactions on Computers, vol.7 (10), 2008, pages 1762-1771. 1109-2750 http://www.worldses.org/journals/computers/ http://hdl.handle.net/123456789/7413 en World Scientific and Engineering Academy and Society (WSEAS)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Background modeling
Biometric identification
Face detection
Face biometrics
Biometrics
Image processing -- Digital techniques
spellingShingle Background modeling
Biometric identification
Face detection
Face biometrics
Biometrics
Image processing -- Digital techniques
Sundaraj, Kenneth
Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection
description Link to publisher's homepage at http://www.worldses.org
author2 kenneth@unimap.edu.my
author_facet kenneth@unimap.edu.my
Sundaraj, Kenneth
format Article
author Sundaraj, Kenneth
author_sort Sundaraj, Kenneth
title Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection
title_short Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection
title_full Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection
title_fullStr Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection
title_full_unstemmed Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection
title_sort real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection
publisher World Scientific and Engineering Academy and Society (WSEAS)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7413
_version_ 1643788807269515264
score 13.214268

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