Intelligent Professional Competitive Basketball Training (IPCBT): from Video based Body Tracking to Smart Motion Prediction

LiGuo Wang, Qinbo Xue
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引用次数: 1

Abstract

Intelligent professional competitive basketball training from the video based body tracking to smart motion prediction is studied in the paper. The research results of human motion analysis can be applied in many fields, such as intelligent monitoring system, virtual reality, human-computer interaction and motion analysis that plays a role in medicine and sports. The window- based human representation model is one of the more commonly used models in current human detection methods. The model represents the core human body as a rectangular area or a combination of several areas with a fixed relative position relationship, and does not describe the details of the human body's limbs and torso in detail. With these modelling steps, the proposed IPCBT is defined. The smart data analysis is applied fore the video information analysis. The robustness of the designed model is provided.
智能职业竞技篮球训练(IPCBT):从基于视频的身体跟踪到智能运动预测
从基于视频的身体跟踪到智能运动预测,对智能职业竞技篮球训练进行了研究。人体运动分析的研究成果可应用于智能监控系统、虚拟现实、人机交互、运动分析等诸多领域,在医学、体育等领域发挥着重要作用。基于窗口的人体表征模型是目前人体检测方法中较为常用的模型之一。该模型将人体核心区域表示为一个矩形区域或几个区域的组合,具有固定的相对位置关系,并不详细描述人体四肢和躯干的细节。通过这些建模步骤,定义了提议的IPCBT。将智能数据分析应用于视频信息分析。证明了所设计模型的鲁棒性。
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