Alajel, Khalid Mohamed and Xiang, Wei and Leis, John ORCID: https://orcid.org/0000-0001-5930-8139
(2011)
Face detection based on skin color modeling and modified Hausdorff distance.
In: CCNC 2011: Emerging and Innovative Consumer Technologies and Applications, 9-12 Jan 2011, Las Vegas, NV. USA.
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Text (Accepted Version)
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Abstract
This paper presents a new face detection approach which is capable of detecting human faces from complex backgrounds. A new skin color modeling process is applied to the face segmentation process. Image enhancement is then used to improve the features of face candidates before feeding to the face object classifier which is based on a modified Hausdorff distance. The overall performance of the face detection system is evaluated and achieved a success rate of 87.5 %.
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Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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Refereed: | Yes |
Item Status: | Live Archive |
Additional Information: | © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013) |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013) |
Date Deposited: | 04 Feb 2011 06:11 |
Last Modified: | 22 Sep 2014 03:18 |
Uncontrolled Keywords: | face detection; complex background; face detection system; face segmentation; human faces; modified Hausdorff distance; skin color modelling |
Fields of Research (2008): | 09 Engineering > 0999 Other Engineering > 099902 Engineering Instrumentation 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing |
Fields of Research (2020): | 40 ENGINEERING > 4099 Other engineering > 409902 Engineering instrumentation 46 INFORMATION AND COMPUTING SCIENCES > 4699 Other information and computing sciences > 469999 Other information and computing sciences not elsewhere classified 40 ENGINEERING > 4006 Communications engineering > 400607 Signal processing |
Socio-Economic Objectives (2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering |
Identification Number or DOI: | https://doi.org/10.1109/CCNC.2011.5766499 |
URI: | http://eprints.usq.edu.au/id/eprint/8810 |
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