Robust Real-Time Face Tracking and Gesture Recognition

Heizmann, J.; Zelinsky, Alexander

Robust Real-Time Face Tracking and Gesture Recognition

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Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Videos. Pages 1525-1529.

Abstract

Peop le naturally express themselves through facial gestures. We have implemented an interface that tracks a person's facial features robustly in real time (30Hz) and does not require artificial artifacts such as special illumination or facial makeup. Even if features become occluded the system is capable of recovering tracking in a couple of frames after the features reappear in the image. Based on this fault tolerant face tracker we have implemented realtime gesture recognition capable of distinguish 12 different gestures ranging from "yes", "no" and "may be" to winks, blinks and "asleep".

J. Heizmann, and Alexander Zelinsky. 1997. Robust Real-Time Face Tracking and Gesture Recognition. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97. IJCAI, 1525–1529. https://ijcai.org/proceedings/1997/218

@inproceedings{ijcai1997p218,
  title     = {Robust Real-Time Face Tracking and Gesture Recognition},
  author    = {Heizmann, J. and Zelinsky, Alexander},
  booktitle = {Proceedings of the Fifteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-97}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Martha E. Pollack},
  pages     = {1525--1529},
  year      = {1997},
  note      = {Videos},
  url       = {https://ijcai.org/proceedings/1997/218},
}

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TI  - Robust Real-Time Face Tracking and Gesture Recognition
AU  - Heizmann, J.
AU  - Zelinsky, Alexander
T2  - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97
PB  - International Joint Conferences on Artificial Intelligence
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