Abstract

Due to the target recognition algorithm has high time complexity, a fast recognition algorithm of golf gesture based on video sequence is proposed. Firstly, the detector locates the salient region of image, then the gesture detector scans the fraction sequence generated by the video and the sequence is taken as feature data, finally, the linear support vector machine does real-time judgment of the data, thus completing the fast recognition. The experiments show that the recognition speed is over 30 fps and the accuracy of 97% can be achieved on iPhone5s and later version, proving the validity in practical application.

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