Abstract
This work presents a real time system for detection and tracking of facial features in video sequences. Such system may be used in visual communication applications, such as teleconferencing, virtual reality, intelligent interfaces, human-machine interaction, surveillance, etc. We have used a statistical skin-color model to segment face-candidate regions in the image. The presence or absence of a face in each region is verified by means of an eye detector, based on an efficient template matching scheme . Once a face is detected, the pupils, nostrils and lip corners are located and these facial features are tracked in the image sequence, performing real time processing.
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Schmidt Feris, R., de Campos, T.E., Marcondes, R.C. (2000). Detection and Tracking of Facial Features in Video Sequences. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_12
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DOI: https://doi.org/10.1007/10720076_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67354-5
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