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Biomechanical model-based sprint athlete articulation point identification method research

机译：基于生物力学模型的短跑运动员关节点识别方法研究

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Video human sports analysis is an important research direction in computer research field, main content is getting human movement information from single or multiple video camera shooting video sequence, and further carry on three-dimensional reconstruction, with modern human movement capturing and behaviors understanding’s research development, it has higher and higher requests on the research[1]. The paper grasps sports movement process human articulation point automatic recognition scientific algorithm as key points to make discussion, in the hope of building basis for more authentic and scientific three-dimensional reconstruction. The paper implements flow research by human articulation point automatic recognition software, and states image processing latter period human body model principle of model that reconstructs according to proportion. Apply video camera measuring apparatus and scientific measuring method, provides basis for effective and scientific data collection. Research result defines human body 15 links and 21 articulation points, and provides each articulation point defining mathematical model, establishes special status discriminant model, provides visible lateral articulation point entering into human contour line, invisible lateral articulation point sheltering and hand definite impacts on hip joint processing methods.
机译：视频人体运动分析是计算机研究领域的重要研究方向，主要内容是从单个或多个摄像机拍摄的视频序列中获取人体运动信息，并进一步进行三维重构，以现代人体运动捕捉与行为理解的研究发展，对研究的要求越来越高[1]。本文以运动过程人类关节点自动识别科学算法为重点进行讨论，以期为更真实，科学的三维重建奠定基础。本文通过人体关节点自动识别软件进行流量研究，并阐述了图像处理后期人体模型按比例重构的原理。应用摄像机测量仪器和科学的测量方法，为有效科学的数据采集提供依据。研究结果定义了人体的15个连接点和21个关节点，并提供了每个关节点定义的数学模型，建立了特殊的状态判别模型，提供了可见的横向关节点进入人体轮廓线，隐形的横向关节点遮挡以及手部对髋关节的明确影响处理方法。

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