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International Workshop on Biometric Authentication

BIOMET 2014: Biometric Authentication pp 176–188Cite as

Human Gaze Tracking With An Active Multi-Camera System

Part of the Lecture Notes in Computer Science book series (LNIP,volume 8897)

Abstract

This paper presents a framework for determining the direction of human gaze with an active multi-camera system. A fixed camera is employed in order to estimate the position of the human face and its features, like the eyes. By means of the Supervised Descent Method (SDM) for minimizing a Non-linear Least Squares (NLS) function we can compute correctly the position of the two eyes using 6 landmarks for each of them and the pose of the head. Then an active pan-tilt camera is oriented to one of the users eyes. This way a high precision gaze direction determination is accomplished.

Keywords

  • Eye tracking
  • Gaze tracking
  • Face tracking
  • Active camera
  • Pan-tilt camera

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  • DOI: 10.1007/978-3-319-13386-7_14
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Author information

Authors and Affiliations

  1. Faculty of Telecommunications, Technical University of Sofia, 8 Kliment Ohridski Blvd., 1000, Sofia, Bulgaria

    Agata Manolova, Stanislav Panev & Krasimir Tonchev

Authors
  1. Agata Manolova
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  2. Stanislav Panev
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  3. Krasimir Tonchev
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Corresponding author

Correspondence to Agata Manolova .

Editor information

Editors and Affiliations

  1. University of Pavia, Pavia, Italy

    Virginio Cantoni

  2. Bulgarian Academy of Sciences, Sofia, Bulgaria

    Dimo Dimov

  3. University of Sassari, Alghero, Sassari, Italy

    Massimo Tistarelli

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Manolova, A., Panev, S., Tonchev, K. (2014). Human Gaze Tracking With An Active Multi-Camera System. In: Cantoni, V., Dimov, D., Tistarelli, M. (eds) Biometric Authentication. BIOMET 2014. Lecture Notes in Computer Science(), vol 8897. Springer, Cham. https://doi.org/10.1007/978-3-319-13386-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-13386-7_14

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