Live Stream Oriented Age and Gender Estimation using Boosted LBP Histograms Comparisons

Lionel Prevost, Philippe Phothisane, Erwan Bigorgne

Abstract

Research has recently focused on human age and gender estimation because they are useful cues in many applications such as human-machine interaction, soft biometrics or demographic statistics for marketing. Even though human perception of other people’s age is often biased, attaining this kind of precision with an automatic estimator is still a difficult challenge. In this paper, we propose a real time face tracking framework that includes a sequential estimation of people’s gender then age. A single gender estimator and several gender-specific age estimators are trained using a boosting scheme and their decisions are combined to output a gender and an age in years. We choose to train all these estimators using local binary patterns histograms extracted from still facial images. The whole process is thoroughly tested on state-of art databases and video sets. Results on the popular FG-NET database show results comparable to human perception (overall 70% correct responses within 5 years tolerance and almost 90% within 10 years tolerance). The age and gender estimators can output decisions at 21 frames per second. Combined with the face tracker, they provide real-time estimations of age and gender.

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Paper Citation


in Harvard Style

Prevost L., Phothisane P. and Bigorgne E. (2014). Live Stream Oriented Age and Gender Estimation using Boosted LBP Histograms Comparisons . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 790-798. DOI: 10.5220/0004927207900798


in Bibtex Style

@conference{icpram14,
author={Lionel Prevost and Philippe Phothisane and Erwan Bigorgne},
title={Live Stream Oriented Age and Gender Estimation using Boosted LBP Histograms Comparisons},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={790-798},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004927207900798},
isbn={978-989-758-018-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Live Stream Oriented Age and Gender Estimation using Boosted LBP Histograms Comparisons
SN - 978-989-758-018-5
AU - Prevost L.
AU - Phothisane P.
AU - Bigorgne E.
PY - 2014
SP - 790
EP - 798
DO - 10.5220/0004927207900798