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In this paper we describe a computer vision-based 3D hand tracking system for a multimodal augmented reality (AR) interface. We have developed a 3D vision-based natural hand interaction method. This consists of four steps: (1) skin colour segmentation, (2) feature point finding, (3) hand direction calculation, and (4) simple collision detection based on a short finger ray for interaction between the...
The paper addresses the problem of person following using color and shape identification in indoors and outdoors environments with significant light variations. This is mainly achieved by real-time control of camera parameters affecting the light exposure, i.e. camera gain, shutter speed and iris. Several other new strategies are also proposed to recognize and segment the person from the environment,...
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