基于图像识别的啦啦操上臂动作误差识别方法

An Error Recognition Method for Cheerleading Upper Arm Motion Based on Image Recognition

针对传统啦啦操上臂动作误差识别精度低等问题,设计了一种基于图像识别的上臂动作误差识别方法.基于三维传感追踪进行啦啦操上臂动作图像的采集,对其进行边缘轮廓检测,提取上臂动作图像的边缘轮廓.利用富含较高能量值的关键帧,从上臂动作轮廓图像中提取轮廓特征,分析其误差特性,获取像素分量加权值及模糊误差值,依据模糊误差值完成误差识别.实验结果表明:该方法可精准提取啦啦操上臂轮廓,图像清晰,动作误差识别精度超过99%,识别误差较小.

In view of the low accuracy of traditional cheerleading upper arm motion error recognition, this paper has designed a cheerleading upper arm motion error recognition method based on image recognition. The three-dimensional sense tracking recognition method was used to collect the cheerleading upper arm motion images. The edge contour was detected to extract the edge contour of the upper arm motion images. The key frame with high energy value was used to extract contour features from the upper arm motion contour image. Sequentially, the researchers analyzed its error characteristics, obtained the pixel component weight value and fuzzy error value, and completed error recognition according to the fuzzy error value.The experimental results show that this method can accurately extract the contour of cheerleading upper arm with clear images, assuring high precision of motion error recognition.