Abstract
The paper proposes a kind of athletes’ irrational postures recognition technology based on minimizing image sequences by analyzing the shape bases of the collected images and estimating the overall movement parameters in the single-frame movement images. The irrational movement features information will be projected in the gray fields to obtain the embedded hidden information in the overall movement posture images to achieve the recognition of irrational postures. The experimental results illustrate the posture correction offsets by the proposed improved algorithm are smaller than those in traditional methods with high correction accuracy and the signal to noise ratios of the peaks are increased. The results show the superiority of the algorithm which can be well applied in the motion image fusion and identification areas.
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