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Tracking and learning graphs on image sequences of faces

  • Oral Presentations: Sensory Processing Sensory Processing II: Object Recognition
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Artificial Neural Networks — ICANN 96 (ICANN 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1112))

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Abstract

We demonstrate a system capable of tracking, in real world image sequences, landmarks such as eyes, mouth, or chin on a face. In a first version knowledge previously collected about faces is used for finding the landmarks in the first frame. In a second version the system is able to track the face without any prior knowledge about faces and is thus applicable to other object classes.

Supported by the German Federal Ministry of Science and Technology and by the US Army Research Lab.

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References

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Author information

Authors and Affiliations

  1. Institut für Neuroinformatik, Ruhr-Universität Bochum, 44780, Bochum, Germany

    Thomas Maurer & Christoph von der Malsburg

  2. Dept. of Computer Science and Section for Neurobiology, University of Southern California, Los Angeles, USA

    Christoph von der Malsburg

Authors
  1. Thomas Maurer
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  2. Christoph von der Malsburg
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Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

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© 1996 Springer-Verlag Berlin Heidelberg

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Maurer, T., von der Malsburg, C. (1996). Tracking and learning graphs on image sequences of faces. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_57

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  • DOI: https://doi.org/10.1007/3-540-61510-5_57

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61510-1

  • Online ISBN: 978-3-540-68684-2

  • eBook Packages: Springer Book Archive

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