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INCORRECT SKELETAL PARTS RECOVERING METHOD USING 3D SPACE DIVISION AND MOCAP DATA

机译:使用3D空间划分和MoCAP数据的骨骼部件恢复方法不正确

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Over the past few decades many researchers have been studying about human motion recognition. Human motion recognition can apply a various application in real world. Recently, the acquirement of the skeleton has been become a more easy with the release of Kinect which offer the estimated skeleton without marker. At the same time, the skeleton based human motion recognition and description method are proposed as a various method. However, this skeleton information is easy to lose the target joint and recognize the incorrect joint position information. In contrast, motion capture system can create a motion capture data which is including more natural and correct joint position. But the task to create a motion capture (MoCap) data is time consuming and labor intensive. Thus, we propose the application to offer recovered motion without MoCap data and recovering method using 3D space division and MoCap data. We extract a sequence of the joint trajectory by using 3D motion space. And we use a dynamic time warping algorithm (DTW) to find a best estimate joint in Kinect skeleton and a corresponding MoCap frame. Then, we repair the incorrect Kinect joint position based on corresponding MoCap data.
机译:在过去的几十年里,许多研究人员一直在研究人类运动识别。人类运动识别可以在现实世界中应用各种应用。最近,骨架的获取已经变得更加容易,释放Kinect,其提供估计的骨架没有标记。同时,提出了基于骨架的人的运动识别和描述方法作为各种方法。但是,这种骨架信息易于丢失目标关节并识别不正确的联合位置信息。相反,运动捕获系统可以创建运动捕获数据,包括更自然和更正的关节位置。但是要创建运动捕获(Mocap)数据的任务是耗时和劳动密集型。因此,我们提出了在没有Mocap数据的情况下提供恢复的运动和使用3D空间划分和Mocap数据的恢复方法。我们使用3D运动空间提取关节轨迹的一系列。我们使用动态时间翘曲算法(DTW)来在Kinect骨架和相应的Mocap帧中找到最佳估算关节。然后,我们根据相应的MoCAP数据修复不正确的Kinect联合位置。

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