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Detection and Tracking of Facial Features in Video Sequences

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MICAI 2000: Advances in Artificial Intelligence (MICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1793))

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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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Author information

Authors and Affiliations

  1. CreatiVision – Creative Vision Research Group, Department of Computer Science, DCC-IME-USP, University of São Paulo, Rua do Matão, 1010, São Paulo, SP, 05508-900, Brazil

    Rogério Schmidt Feris, Teófilo Emídio de Campos & Roberto Cesar Marcondes Jr.

Authors
  1. Rogério Schmidt Feris
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  2. Teófilo Emídio de Campos
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  3. Roberto Cesar Marcondes Jr.
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Editor information

Editors and Affiliations

  1. Department of Computer Science Instituto Tecnológico Autónomo de México (ITAM), Río Hondo 1, 01080, México DF, México

    Osvaldo Cairó

  2. Monterrey Institute of Technology (ITESM), Campus Morelos, Av. Reforma 182-A, Lomas de Cuernvaca, Temixco, 62589, Morelos, Mexico

    L. Enrique Sucar

  3. ITESM Campus Monterrey, Research and Graduate Studies Office, Monterrey, N.L., México

    Francisco J. Cantu

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© 2000 Springer-Verlag Berlin Heidelberg

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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

  • Online ISBN: 978-3-540-45562-2

  • eBook Packages: Springer Book Archive

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