基于视频的运动员动作自动分析

Haojie Li, Shouxun Lin, Yongdong Zhang, Kun Tao
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引用次数: 21

摘要

运动员动作视频分析由于对运动员无干预,且有丰富的存档数据可供利用,正成为运动训练的重要工具。在本文中,我们介绍了我们在潜水视频中复杂个人动作的自动分析方面的工作,旨在为教练助理和成绩提高提供生物特征测量和视觉工具。采用二维关节人体模型拟合和形态分析技术,自动获得运动员的主体关节角度。提出了两种非常适合个人运动游戏训练的视觉分析工具:运动全景图和叠加构图。实验结果表明了该系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Video-based Analysis of Athlete Action
Video analysis of athlete action is becoming an important tool for sports training, since it has no intervention to the athlete and there are abundant archived data it can exploit. In this paper we present our work on the automatic analysis of complex individual actions in diving video aiming at providing biometric measurements and visual tools for coaching assistant and performance improving. The main body joint angles of the athlete are automatic obtained by 2D articulated human body model fitting and shape analysis techniques. Two visual analyzing tools: motion panorama and overlay composition, which are extremely suitable for individual sports game training are presented. The encouraging experimental results show the effectiveness of the proposed system.
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