大跨度运动中肢体摆动幅度的视觉判断

摘要

针对大跨度运动中肢体摆动幅度视觉特征建模困难的问题,提出基于边缘区域轮廓特征检测的大跨度运动中肢体摆动幅度视觉判断方法.首先采用大跨度运动中肢体摆动视觉图像;然后对图像进行高频分量降噪,提高图像的信噪比,并采用边缘区域轮廓特征检测方法提取肢体摆动幅度特征,从而实现视觉检测和图像识别;最后进行仿真测试.结果表明,该方法能够准确进行大跨度运动中的肢体摆动幅度判断,具有较强的运动图像分析能力,并且提高了图像的输出信噪比和准确检测概率.%Since it is difficult to model the visual feature of the body swing amplitude in the long span movement,an edge area contour feature detection based visual judgment method of the body swing amplitude in the long span movement is pro-posed. In the visual judgment method,the body swing visual image of the long span movement is used,and then the high fre-quency component of the image is denoised to improve its SNR. The edge area contour feature detection method is used to extract the feature of the body swing amplitude to implement vision detection and image recognition. The performance of the method was verified with simulation. The simulation results show that the method can judge the body swing amplitude in the long span movement accurately,has strong ability for movement image analysis,and can improve the output SNR of the image and probability of accurate detection.