基于行为视觉分析的运动角度规范性智能判断

Standard Intelligent Judgment of Motion Angle Based on Behavior Visual Analysis

传统的运动角度规范性智能判断方法采用运动链位姿变换坐标系特征分解方法,对运动过程中静态属性和动态属性无法区别判断,纠正效果不好。提出一种基于行为视觉分析的运动角度规范性智能判断方法。采用灰色关联分析方法,在肌体特征运动模式下,估计当前时刻下的运动状态,进行技术型运动项目的运动链位姿分析和技术特征分析,通过Gamma校正法对输入行为视觉图像进行运动角度空间标准化处理,采用行为视觉分析方法实现运动角度规范性智能判断方法改进。仿真结果表明,采用该法进行技术型运动项目的运动角度规范性智能判断,能有效准确地反应出运动的行为视觉特征,对技术特征跟踪标定性能较好,实现对技术型运动的规范性智能评价和判断。

Traditional motion angle intelligent judgment method of the kinematic chain pose coordinate transformation fea-ture decomposition method, movement in the process of static and dynamic attributes can't tell the difference between judg-ment and correction effect is not good. A kind of intelligent judgment method based on the behavior visual analysis is pro-posed.. The grey relational analysis method, in body motion feature model estimated the motion state, technology type sports movement chain pose analysis and technical characteristics are analyzed, through gamma correction method to input visual image of motion angle space standardization processing, using visual behavior analysis method to achieve motion angle in-telligent judgment method improved. Simulation results show that the technology type sports movement angle of intelligent judgment by the method can effectively and accurately reflect the movement of the visual features, on feature technology tracking calibration performance is better, to achieve the technical movement specification of intelligent evaluation and judgment.