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HUMAN BODY TRACKING FOR DIGITAL ACTORS

机译:数字角色的人体追踪

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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:从视频跟踪人体对于许多应用(例如创建数字演员)很重要。但是,当强度信息由于遮挡而部分缺失时,参数估计容易失败。在本文中,我们提出了一种通过最小化施加到身体部位的强度变化和扭矩来进行人体运动估计的方法。最小扭矩标准在运动估计期间增加了额外的约束。本文介绍了理论背景,以及实验结果证明了跟踪的鲁棒性。

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