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HUMAN BODY TRACKING FOR DIGITAL ACTORS

机译:数字演员的人体跟踪

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摘要

Tracking human body from video is important for many applications such as creating digital actors. However, when the intensity information is partly missing due to the occlusions, the parameter estimation can be easily failed. In this paper, we propose a human motion estimation method by minimizing both intensity change and torque applying to the body parts. The minimum torque criterion adds extra constraints during the motion estimation. This paper presents the theoretical background, and also experimental results that demonstrate the robustness of the tracking.
机译:跟踪来自视频的人体对于许多应用是创建数字演员的许多应用很重要。但是,当由于闭塞而部分缺少强度信息时,参数估计可以容易地失败。在本文中,我们通过最小化施加到身体部位的强度变化和扭矩来提出人体运动估计方法。最小扭矩标准在运动估计期间增加了额外约束。本文介绍了理论背景,还展示了跟踪稳健性的实验结果。

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