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Efficient Face Detection using Adaboost

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IJCA Proceedings on International Conference in Computational Intelligence (ICCIA2012)
© 2012 by IJCA Journal
iccia - Number 10
Year of Publication: 2012
Authors:
K.T.Talele
Sunil Kadam
Atul Tikare

K.T.Talele, Sunil Kadam and Atul Tikare. Article: Efficient Face Detection using Adaboost. IJCA Proceedings on International Conference in Computational Intelligence (ICCIA 2012) ICCIA(10):-, March 2012. Full text available. BibTeX

@article{key:article,
	author = {K.T.Talele and Sunil Kadam and Atul Tikare},
	title = {Article: Efficient Face Detection using Adaboost},
	journal = {IJCA Proceedings on International Conference in Computational Intelligence (ICCIA 2012)},
	year = {2012},
	volume = {ICCIA},
	number = {10},
	pages = {-},
	month = {March},
	note = {Full text available}
}

Abstract

Face detection is an essential application of visual object detection and it is one of the main components of face analysis and understanding with face localization and face recognition. It becomes a more and more complex domain used in a large number of applications, among which we find security, new communication interfaces, biometrics and many others. The goal of face detection is to detect human faces in still images or videos, in different situations. We will focus on a detector which processes images very quickly while achieving high detection rates. This detection is based on a boosting algorithm called AdaBoost and the response of simple Haar-based features used by Viola and Jones.

References

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