Lighting-Variable AdaBoost Based-On System for Robust Face Detection

Wood, R. and Olszewska, Joanna Isabelle (2012) Lighting-Variable AdaBoost Based-On System for Robust Face Detection. In: Proceedings of the 5th International Conference on Bio-Inspired Systems and Signal Processing. SciTePress Digital Library., Algarve, Portugal, pp. 494-497.

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Abstract

In order to detect faces in pictures presenting difficult real-world conditions such as dark background or backlighting, we propose a new method which is robust to varying illuminations and which automatically adapts itself to these lighting changes. The proposed face detection technique is based on an efficient AdaBoost super-classifier and relies on multiple features, namely, the global intensity average value and the local intensity variations. Based on tests carried out on standards datasets, our system successfully performs in indoor as well as outdoor situations with different lighting levels.

Item Type:	Book Chapter
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Schools:	School of Computing and Engineering School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:	Author Conference
Depositing User:	Joanna Olszewska
Date Deposited:	26 Jul 2012 13:11
Last Modified:	28 Aug 2021 20:39
URI:	http://eprints.hud.ac.uk/id/eprint/14120

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