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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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
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