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A novel system of real time hand tracking and gesture recognition

机译:一种新颖的实时手部跟踪和手势识别系统

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This paper presents a novel system of hand tracking and gesture recognition in real time domain. In this paper, SIFT algorithm is used to generate image features which are invariant to image translation, scaling, rotation and partially invariant to illumination changes. The extracted key points are matched with saved key points and the image is recognized. We carried out experimentations on MATLAB platform and have successfully identified a number of gestures. To prove the versatility of our system, we have used different light conditions in real time. The obtained results are fast and encouraging.
机译:本文提出了一种新颖的实时域中的手部追踪和手势识别系统。在本文中,SIFT算法用于生成图像特征,这些特征对于图像平移,缩放,旋转和照明变化部分不变。将提取的关键点与保存的关键点进行匹配,即可识别图像。我们在MATLAB平台上进行了实验,并成功识别出许多手势。为了证明我们系统的多功能性,我们实时使用了不同的光照条件。获得的结果快速而令人鼓舞。

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