Accelerated face detector training using the PSL framework
Loading...
Date
2009
DOI
Open Access Location
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Massey University
Rights
Abstract
We train a face detection system using the PSL framework [1] which combines the AdaBoost
learning algorithm and Haar-like features. We demonstrate the ability of this framework to
overcome some of the challenges inherent in training classifiers that are structured in cascades
of boosted ensembles (CoBE). The PSL classifiers are compared to the Viola-Jones type cas-
caded classifiers. We establish the ability of the PSL framework to produce classifiers in a
complex domain in significantly reduced time frame. They also comprise of fewer boosted en-
sembles albeit at a price of increased false detection rates on our test dataset. We also report
on results from a more diverse number of experiments carried out on the PSL framework in
order to shed more insight into the effects of variations in its adjustable training parameters.
Description
Keywords
Haar-like features, Face detection, AdaBoost, Cascades of boosted ensembles (CoBE), Classifiers, Viola-Jones detection
Citation
Susnjak, T., Barczak, A.L.C., Hawick, K.A. (2009), Accelerated face detector training using the PSL framework, Research Letters in the Information and Mathematical Sciences, 13, 68-80