Robust Real-Time Face Tracking and Gesture Recognition
نویسنده
چکیده
People 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 artiicial 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 real-time gesture recognition capable of distinguish 12 diierent gestures ranging from \yes", \no" and \may be" to winks, blinks and \asleep".
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متن کاملRobust Real-Time Face Tracking and Gesture Recognition
People natural ly express themselves through facial gestures. We have implemented an interface that tracks a person's facial features robustly in real t ime (30Hz) and does not require art i f icial artifacts such as special i l lumination 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 imag...
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