Facial Expression Analysis in E-Learning Systems " The Problems and Feasibility
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Face detection and facial feature localization without considering the appearance of image context
Image and Vision Computing
Adaptive weighting of local classifiers by particle filters for robust tracking
Pattern Recognition
An implementation of SVM-based gaze recognition system using advanced eye region detection
ICCSA'11 Proceedings of the 2011 international conference on Computational science and Its applications - Volume Part V
A mutual information based face clustering algorithm for movie content analysis
Image and Vision Computing
A wavelet-based dominant feature extraction algorithm for palm-print recognition
Digital Signal Processing
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A joint probabilistic face detection and tracking algorithm, combining likelihood estimation and a prior probability, is proposed. The likelihood estimation scheme is based on the statistical training of sets of automatically generated feature points and a mutual information tracking cue, while the prior probability estimation is based on a Gaussian temporal model. The likelihood estimation process is the core of a multiple face detection scheme used to initialize the tracking process. The resulting system has been tested on real image sequences and is robust to significant partial occlusion and illumination changes.