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WACV
2005
IEEE

Handsignals Recognition From Video Using 3D Motion Capture Data

10 years 3 months ago
Handsignals Recognition From Video Using 3D Motion Capture Data
Hand signals are commonly used in applications such as giving instructions to a pilot for airplane takeoff or direction of a crane operator by a foreman on the ground. A new algorithm for recognizing hand signals from a single camera is proposed. Typically, tracked 2D feature positions of hand signals are matched to 2D training images. In contrast, our approach matches the 2D feature positions to an archive of 3D motion capture sequences. The method avoids explicit reconstruction of the 3D articulated motion from 2D image features. Instead, the matching between the 2D and 3D sequence is done by backprojecting the 3D motion capture data onto 2D. Experiments demonstrate the effectiveness of the approach in an example application: recognizing six classes of basketball referee hand signals in video.
Tai-Peng Tian, Stan Sclaroff
Added 25 Jun 2010
Updated 13 Jul 2010
Type Conference
Year 2005
Where WACV
Authors Tai-Peng Tian, Stan Sclaroff
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