Department of Computer Science
Face tracking in low resolution videos under illumination variations
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.
illumination variations, low-resolution, particle filter, Visual face tracking
Source Publication Title
IEEE ICIP2011: 2011 18th IEEE International Conference on Image Processing
Link to Publisher's Edition
Zou, W., Chellappa, R., & Yuen, P. (2011). Face tracking in low resolution videos under illumination variations. IEEE ICIP2011: 2011 18th IEEE International Conference on Image Processing, 781-784. https://doi.org/10.1109/ICIP.2011.6116672