Abstract
This paper presents a real time estimation method for 3D trajectory of fingertips. Our approach is based on depth vision, with Kinect depth sensor. The hand is extracted using hand detector and depth image from sensor. The fingertips are located by the analysis of the curvature of hand contour. The fingertips detector is implemented using concept of active contour which combine the energy of continuity, curvature, direction, depth and distance. The trajectory of fingertips is filtered to reduce the tracking error. The experiment is evaluated on the fingers movement sequences. Besides, the capabilities of the method are demonstrated on the real-time Human–Computer Interaction (HCI) application.
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We would like to thank the National Research University Project of Thailand’s Office of the Higher Education Commission for financial support
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Silanon, K., Suvonvorn, N. (2014). Fingertips Tracking Based Active Contour for General HCI Application. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_35
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DOI: https://doi.org/10.1007/978-981-4585-18-7_35
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