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3D hand tracking for human computer interaction
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DOI：10.1016/j.imavis.2012.01.003.png)
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Abstract
En 中文
We propose a real-time model-based 3D hand tracker that combines image regions and the signal from an off-the-shelf 3-axis accelerometer placed on the user's hand. The visual regions allow the tracker to cope with occlusions, motion blur and background clutter, while the latter aids with the inherent silhouette-pose ambiguities. The accelerometer and tracker are synchronised by casting the calibration problem as one of principal component analysis. Based on the assumption that, often, the number of possible hand configurations is limited by the activity the hand is engaging in, we use a multiclass pose classifier to distinguish between a number of activity dependent articulated hand configurations. We demonstrate the benefits of our method, both qualitatively and quantitatively, on a variety of video sequences and hand configurations and show a proof-of-concept human computer interface based on our system. (C) 2012 Elsevier B.V. All rights reserved.
Keywords:
Hand tracking
Region based tracking
3d tracking
Real time 3d tracking
Accelerometer tracker integration
Pose classification
Articulated hand tracking
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