MULTIPLE-CUE FACE TRACKING USING PARTICLE FILTER EMBEDDED IN INCREMENTAL DISCRIMINANT MODELS

Zi-Yang Liu, Ju-Chin Chen, Jenn-jier James Lien

2010

Abstract

This paper presents a multi-feature integrated algorithm incorporating a particle filter and the incremental linear discriminant models for face tracking purposes. To solve the drift problem, the discriminant models are constructed for colour and orientation feature to separate the face from the background clutter. The colour and orientation features are described in the form of part-wisely concatenating histograms such that the global information and local geometry can be preserved. Additionally, the proposed adaptive confidence value for each feature is fused with the corresponding likelihood probability in a particle filter. To render the face tracking system more robust toward variations in the facial appearance and background scene, the LDA model for each feature is updated on a frame-by-frame basis by using the discriminant feature vectors selected in accordance with a co-training approach. The experimental results show that the proposed system deals successfully with face appearance variations (including out-of-plane rotations), partial occlusions, varying illumination conditions, multiple scales and viewpoints, and cluttered background scenes.

Paper Citation

in Harvard Style

Liu Z., Chen J. and Lien J. (2010). MULTIPLE-CUE FACE TRACKING USING PARTICLE FILTER EMBEDDED IN INCREMENTAL DISCRIMINANT MODELS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 373-380. DOI: 10.5220/0002849803730380

in Bibtex Style

@conference{visapp10,
author={Zi-Yang Liu and Ju-Chin Chen and Jenn-jier James Lien},
title={MULTIPLE-CUE FACE TRACKING USING PARTICLE FILTER EMBEDDED IN INCREMENTAL DISCRIMINANT MODELS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={373-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002849803730380},
isbn={978-989-674-028-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - MULTIPLE-CUE FACE TRACKING USING PARTICLE FILTER EMBEDDED IN INCREMENTAL DISCRIMINANT MODELS
SN - 978-989-674-028-3
AU - Liu Z.
AU - Chen J.
AU - Lien J.
PY - 2010
SP - 373
EP - 380
DO - 10.5220/0002849803730380