基于多尺度细节增强的短跑训练摆臂动作识别
Arm Swing Recognition in Sprint Training Based on Multi-scale Detail Enhancement
姜龙 1朱继红 1吴彬胜1
作者信息
- 1. 连云港职业技术学院 公共体育部,江苏 连云港 222006
- 折叠
摘要
针对当前识别摆臂动作方法中直接提取图像特征,导致摆臂动作识别结果与实际摆臂动作运动轨迹拟合度较低的问题,提出基于多尺度细节增强的短跑训练摆臂动作识别方法.利用图像多尺度分解、图像纹理细节增强、图像信息融合 3 个步骤凸显摆臂动作特征,通过训练摆臂动作多尺度细节图像特征,识别短跑训练摆臂动作.实验结果表明,该方法识别的运动轨迹与设置的实际摆臂动作运动轨迹拟合度偏差较小,摆臂动作识别效果较好.
Abstract
There are problems in the method of arm swing action recognition that the image features are directly ex-tracted,resulting in the low fit of the arm action recognition result and the actual arm movement trajectory.The method of the arm swing action recognition in sprint training based on multi-scale detail enhancement is proposed.The three steps of image multi-scale decomposition,image texture detail enhancement and image information fusion are used to highlight the action characteristics of the swing arm and identify the arm swing in sprint training.The experiment results show that the deviation of trajectory identified by this method and the actual trajectory of the swing arm is small,which has a better recognition effect of the arm swing.
关键词
摆臂动作/动作识别/短跑训练/多尺度细节增强/LSTM网络Key words
swing arm action/action recognition/sprint training/multiscale detail enhancement/LSTM network引用本文复制引用
基金项目
江苏省教育科学"十三五"规划重点资助课题(B-A20180328)
出版年
2024
NETL
NSTL
万方数据