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A Real-Time Implementation of Face and Eye Tracking on OMAP Processor

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Innovations in Computer Science and Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 413))

Abstract

The real-time implementation of embedded image processing applications needs a fast processor. Eye recognition is an important part of image processing systems such as driver fatigue detection system and eye gaze detection system. In these systems, a fast and accurate real-time implementation of face and eye tracking is required. Hence, a new approach to determine and track face and eye on live images is proposed in this paper. This proposed method is implemented and successfully tested in laboratory for various real-time images with and without glasses captured through Logitech USB Camera of 1600 × 1200 pixels @ 30 fps. The method is developed on 1 GHz open multimedia applications platform (OMAP) processor and the algorithm is developed using OpenCV libraries. The success rate of the proposed algorithm shows that the hardware has sufficient speed and accuracy, which can be used in real time.

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Author information

Authors and Affiliations

  1. Vignan Institute of Technology and Science, Hyderabad, Deshmukhi, India

    Vijayalaxmi Biradar

  2. Gitam Institute of Technology, GITAM University, Visakhapatnam, India

    D. Elizabath Rani

Authors
  1. Vijayalaxmi Biradar
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  2. D. Elizabath Rani
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Corresponding author

Correspondence to Vijayalaxmi Biradar .

Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Professor & Managing Director, Ibrahimpatnam, Andhra Pradesh, India

    H. S. Saini

  2. Guru Nanak Institutions, Professor & Associate Director, Ibrahimpatnam, Andhra Pradesh, India

    Rishi Sayal

  3. Guru Nanak Institutions, Professor and Head – CSE and IT, Ibrahimpatnam, India

    Sandeep Singh Rawat

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© 2016 Springer Science+Business Media Singapore

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Biradar, V., Elizabath Rani, D. (2016). A Real-Time Implementation of Face and Eye Tracking on OMAP Processor. In: Saini, H., Sayal, R., Rawat, S. (eds) Innovations in Computer Science and Engineering. Advances in Intelligent Systems and Computing, vol 413. Springer, Singapore. https://doi.org/10.1007/978-981-10-0419-3_29

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  • DOI: https://doi.org/10.1007/978-981-10-0419-3_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0417-9

  • Online ISBN: 978-981-10-0419-3

  • eBook Packages: EngineeringEngineering (R0)

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