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A Virtual 3D Blackboard: 3D Finger Tracking Using a Single Camera
Grenoble, France9 March 26-March 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AFGR.2000.840686Fourth IEEE International Conference ...
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Andrew Wu, University of Illinois at Urbana-Champaign
Mubarak Shah, University of Central Florida
N. da Vitoria Lobo, University of Central Florida
We present a method for tracking the 3D position of a finger, using a single camera placed several meters away from the user. After skin detection, we use motion to identify the gesticulating arm. The finger point is found by analyzing the arm's outline. To derive a 3D trajectory, we first track 2D positions of the user's elbow and shoulder. Given that a human's upper arm and lower arm have consistent length, we observe that the possible locations of a finger and elbow form two spheres with constant radii. From the previously tracked body points, we can reconstruct these spheres, computing the 3D position of the elbow and finger. These steps are fully automated and do not require human intervention. The system presented can be used as a visualization tool, or as a user input interface, in cases when the user would rather not be constrained by the camera system.
Citation:
Andrew Wu, Mubarak Shah, N. da Vitoria Lobo, "A Virtual 3D Blackboard: 3D Finger Tracking Using a Single Camera," fg, pp.536, Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), 2000
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