2012 | OriginalPaper | Buchkapitel
Real-Time Hand Pose Estimation Using Classifiers
verfasst von : Mateusz Półrola, Adam Wojciechowski
Erschienen in: Computer Vision and Graphics
Verlag: Springer Berlin Heidelberg
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Development of human-computer interaction methods tends to exploit more and more natural human activities like thoughts, body posture or hands gesticulation. While most of authors improve whole body tracking this paper concentrates on hand’s poses analysis. Due to the usage of the depth image based object recognition approach to hand pose estimation a very precise method was obtained. Additionally thanks to decision forest implemented on GPU a real-time processing is possible.