Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Face tracking in low resolution videos under illumination variations

Language

English

Abstract

In practical face tracking applications, the face region is often small and affected by illumination variations. We address this problem by using a new feature, namely the Gradient-Logarithmic Field (GLF) feature, in the particle filter framework. The GLF feature is robust under illumination variations and the GLF-based tracker does not assume any model for the face being tracked and is effective in low-resolution video. Experimental results show that the proposed GFL-based tracker works well under significant illumination changes and outperforms some of the state-of-the-art algorithms. © 2011 IEEE.

Keywords

illumination variations, low-resolution, particle filter, Visual face tracking

Publication Date

2011

Source Publication Title

IEEE ICIP2011: 2011 18th IEEE International Conference on Image Processing

Start Page

781

End Page

784

Conference Location

Brussels, Belgium

Publisher

IEEE

DOI

10.1109/ICIP.2011.6116672

Link to Publisher's Edition

http://dx.doi.org/10.1109/ICIP.2011.6116672

ISBN (print)

9781457713040

ISBN (electronic)

9781457713026

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