Automated Determination of the Pose of a Human from Visual Information  -  Markerless 3D Pose Recovery of Humans from Videos

根据视觉信息自动确定人体姿势 - 从视频中恢复人体的无标记 3D 姿势

• 批准号: DP0771294
• 负责人: Prof Dr Mohammed Bennamoun
• 金额: $ 17.82万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-04-30 至 2011-07-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0771294
• 关键词: Automated; Determination; Pose; Human; Visual

The development of 3D human pose recovery has been sought by computer vision researchers for many years. Our results will, firstly, have benefit for Australia's standing in the international computer vision community. Over time, the research outcomes will be developed into a software product for rehabilitation analysis by recognizing discrepancies between the walking patterns of healthy individuals and those with abnormalities as a result of accidents or diseases. The Australian economy will benefit by the reduction in the lifetime cost of injuries. This software will also provide benefits to the movie animation, computer games industry, and the training of athletes.

计算机视觉研究人员多年来一直在寻求3D人体姿态恢复的发展。首先，我们的研究结果将有利于澳大利亚在国际计算机视觉界的地位。 随着时间的推移，研究成果将被开发成一个软件产品，用于康复分析，通过识别健康人与因事故或疾病而出现异常的人之间的行走模式差异。澳大利亚经济将受益于伤害的终身成本的减少。 该软件还将为电影动画、电脑游戏业和运动员培训带来好处。