A Gesture Recognition Method Based on Image Space Pyramid Feature Pack
A pyramid feature and gesture recognition technology, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of slow calculation speed, large calculation amount, and large calculation amount, so as to facilitate design, improve recognition rate, and realize The effect of gesture recognition
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[0048] Below in conjunction with example the present invention is described in further detail.
[0049] The working process of the present invention includes: firstly performing illumination compensation on all images and using pre-statistical skin color information to set the thresholds of each component in YCrCb color space to realize gesture segmentation. Then, the image space pyramid is constructed by dividing the original image into different blocks, and the description vector is generated by using the feature bag algorithm for each sub-block image of each layer in the image space pyramid. Normalize the generated description vectors. Finally, the training set gesture images are used to train the histogram intersection kernel support vector machine to classify the training set gestures and obtain the optimal classification hyperplane. When the gesture is re-input, the gesture feature vector is obtained through gesture segmentation and feature extraction. Use the trained ...
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