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Development of a motion capture system based on the retrieval in a human motion database on an eigenspace

基于特征空间上人体运动数据库检索的运动捕捉系统的开发

基本信息

批准号：
18500153
负责人：
ISHIKAWA Seiji
金额：
$ 2.13万
依托单位：
Kyushu Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2006
资助国家：
日本
起止时间：
2006 至 2007
项目状态：
已结题

项目摘要

Motion capture is a technique for 3-D modeling of human motions and the system is employed for making the characters in digital films, digital video games, and so on. But the existent motion capture systems need camera calibration for 3-D position recovery of the markers attached on the body of a person in motion, which prevents the motion capture systems from their wider use.This research project is to develop a novel motion capture technique which employs neither camera calibration nor markers. It is realized by making a motion database from various human motion video images based on an eigenspace technique and by giving a tree structure in the database in order to speed up its retrieval. Once an unknown human motion is taken the images by a video camera, the motion which is the most similar to the captured motion is searched in a high speed in the motion database. The found motion gives the 3-D model of the unknown human motion. Experimental results show satisfactory performance of the proposed system.By the proposed motion capture system, one only has to take video images of a person in motion at a site. Then the motion recovers in a 3-D way only by the video stream. This implies that the proposed motion capture system can be applied to a variety of human motions compared to the existent systems. One can then expect wider use of the motion capture system in various communities where human motion recovery/analysis is the primary concern.

动作捕捉是一种对人体动作进行三维建模的技术，该系统被用于制作数字电影、数字视频游戏等中的角色。但是，现有的动作捕捉系统需要通过摄像机标定来恢复运动中人体上的标记物的三维位置，这阻碍了动作捕捉系统的广泛应用。本研究项目是开发一种新的运动捕捉技术，既不使用相机校准也不使用标记。该方法基于特征空间技术，将各种人体运动视频图像建立运动数据库，并在数据库中给出树状结构，以提高检索速度。当摄像机拍摄到一个未知的人体动作后，在动作数据库中高速搜索与所拍摄到的动作最相似的动作。发现的运动给出了未知的人体运动的三维模型。实验结果表明，该系统具有良好的性能。通过提议的动作捕捉系统，人们只需要在一个地点拍摄一个运动中的人的视频图像。然后运动仅通过视频流以3d的方式恢复。这意味着，与现有系统相比，所提出的运动捕捉系统可以应用于各种人体运动。人们可以期望在各种社区中更广泛地使用动作捕捉系统，其中人体动作恢复/分析是主要关注的问题。