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Basic gesture recognition which uses opencv to process images and SVM for classification of the gestures.
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Pk-T/Gesture-Recognition-OpenCV
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The training images have been removed but the model which was created using the images is present in the Code directory. Software is written in Qt/C++ integrated with RGB Demo. RGBDemo is a software to visualize, calibrate and process Kinect output The code is based on the freenect library http://openkinect.org and OpenCV http://opencv.willowgarage.com . The demos are based on a library called nestk. The library itself is easy to integrate to an existing project using cmake: just copy the nestk folder as a subfolder of your project and you should be able to start working with Kinect data. You can get a tutorial to get started there: http://nicolas.burrus.name/index.php/Research/KinectUseNestk . 8 gestures are classified like: Waving, Leg movement, Hand sweep, Nodding etc
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Basic gesture recognition which uses opencv to process images and SVM for classification of the gestures.
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