A Ball Tracking Technique for Augmented Reality Applications
Journal Title: Romanian Journal of Human - Computer Interaction - Year 2010, Vol 3, Issue 3
Abstract
This article presents a robust tracking technique based on colored balls and with a reduced need for computing resources. The technique is based on a random Hough transform algorithm which is optimized for use in real-time applications such as augmented reality systems. Requiring only a conventional color camera attached to a regular PC, this approach allows to determine the 3D position of balls based on interactive processing frameworks. The algorithm is fast enough to be easily combined with other real-time tracking engines. Unlike tracking techniques based on recognition of planar markers, this technique provides robustness to partial occlusion, which interact with real objects.
Authors and Affiliations
Dragoş Cătălin Barbu, Silvia-Ramona Bunea, Ştefan Măgureanu
Keywords
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