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作者:

Zhu, Qing (Zhu, Qing.) | Wang, Yayi (Wang, Yayi.)

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摘要:

As the developing of computer application technology, batches of new generation of somatosensory devices emerge. In June 2010 Microsoft release of the kinect motion-sensing camera is one of the most representative somatosensory devices. The kinect camera, compared with the traditional camera, the biggest advantage of is the depth camera. Many professionals were called depth camera kinect as “the third eye”. The depth camera can take not only a traditional 2D image which have xy two axes, but also the depth image data which can be used to describe the z axis. By using the depth image data for image recognition, we can identify a more accurate human behaviour. This paper mainly expounds how to use depth data, combined with quaternion rotation to identify and track a more accurate human behavior. © 2014 WIT Press.

关键词:

Behavioral research Cameras Image recognition Social sciences

作者机构:

  • [ 1 ] [Zhu, Qing]School of Software Engineering, Beijing University of Technology, China
  • [ 2 ] [Wang, Yayi]School of Software Engineering, Beijing University of Technology, China

通讯作者信息:

  • [zhu, qing]school of software engineering, beijing university of technology, china

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ISSN: 1743-3517

年份: 2014

卷: 59

页码: 239-245

语种: 英文

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