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Semi-Automatic Hand/Finger Tracker Initialization for Gesture-Based Human Computer Interaction

  • Conference paper
Book cover Digital Information and Communication Technology and Its Applications (DICTAP 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 166))

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Abstract

Many solutions are available in the literature for tracking body elements for gesture-based human-computer interfaces, but most of them leave open the problem of tracker initialization or use manual initialization. Solutions for automatic initialization are also available, especially for 3D environments. In this paper we propose a semi-automatic method for initialization of a hand/finger tracker in monocular vision systems. The constraints imposed for the semi-automatic initialization allow a more reliable identification of the target than in the case of fully automatic initialization and can also be used to secure the access to a gesture-based interface. The proposed method combines foreground/background segmentation with color, shape, position and time constraints to ensure a user friendly and safe tracker initialization. The method is not computationally intensive and can be used to initialize virtually any hand/finger tracker.

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Authors and Affiliations

  1. Faculty of Electronics and Telecommunications, “Politehnica” University of Timisoara, Bd. V. Parvan nr. 2, 300223, Timisoara, Romania

    Daniel Popa, Vasile Gui & Marius Otesteanu

Authors
  1. Daniel Popa
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  2. Vasile Gui
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  3. Marius Otesteanu
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Editor information

Editors and Affiliations

  1. LE2I, UMR, CNRS 5158, Faculté des Sciences Mirande, 9 , avenue Alain Savary, BP 47870, 21078, DIJON, France

    Hocine Cherifi

  2. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Kuantan, Pahang, Malaysia

    Jasni Mohamad Zain

  3. Information Systems Department, King Saud University, 11543, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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© 2011 Springer-Verlag Berlin Heidelberg

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Popa, D., Gui, V., Otesteanu, M. (2011). Semi-Automatic Hand/Finger Tracker Initialization for Gesture-Based Human Computer Interaction. In: Cherifi, H., Zain, J.M., El-Qawasmeh, E. (eds) Digital Information and Communication Technology and Its Applications. DICTAP 2011. Communications in Computer and Information Science, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21984-9_36

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  • DOI: https://doi.org/10.1007/978-3-642-21984-9_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21983-2

  • Online ISBN: 978-3-642-21984-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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