ML Anthology

LAFTER: Lips and Face Real-Time Tracker

Nuria Oliver, Alex Pentland, François Bérard
CVPR 1997 pp. 123-129
doi:10.1109/CVPR.1997.609309 /cvpr/1997/oliver1997cvpr-lafter/

Abstract

This paper describes an active-camera real-time system for tracking, shape description, and classification of the human face and mouth using only an SGI Indy computer. The system is based on use of 2-D blob features, which are spatially-compact clusters of pixels that are similar in terms of low-level image properties. Patterns of behavior (e.g., facial expressions and head movements) can be classified in real-time using Hidden Markov Model (HMM) methods. The system has been tested on hundreds of users and has demonstrated extremely reliable and accurate performance. Typical classification accuracies are near 100%.

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Cite

Text

Oliver et al. "LAFTER: Lips and Face Real-Time Tracker." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609309

Markdown

[Oliver et al. "LAFTER: Lips and Face Real-Time Tracker." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/oliver1997cvpr-lafter/) doi:10.1109/CVPR.1997.609309

BibTeX

@inproceedings{oliver1997cvpr-lafter,
  title     = {{LAFTER: Lips and Face Real-Time Tracker}},
  author    = {Oliver, Nuria and Pentland, Alex and Bérard, François},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {123-129},
  doi       = {10.1109/CVPR.1997.609309},
  url       = {https://mlanthology.org/cvpr/1997/oliver1997cvpr-lafter/}
}