Abstract
Human Computer Interaction is an active research field, many researches all over the world try to invent more natural and intuitive communication ways between humans and computers. Hand interaction methods occupy distinguished position among other interaction methods because of hand intensive use in human everyday life. In this paper we present a new appearance based method to recognize and track moving bare human hand in an unknown environment. Our method can distinguish between hand and other moving objects, by using proposed posture independent hand features. Results show that the presented method can efficiently and effectively recognize and track all human hand postures in real-time.
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© 2014 Springer International Publishing Switzerland
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Alsoos, M., Joukhadar, A. (2014). Posture Independent Model for Hand Detection and Tracking. In: Hippe, Z., Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Human-Computer Systems Interaction: Backgrounds and Applications 3. Advances in Intelligent Systems and Computing, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-319-08491-6_25
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DOI: https://doi.org/10.1007/978-3-319-08491-6_25
Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-08491-6
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