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[会议论文]

People tracking and following using multiple RGB-D cameras

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作者:

Yu, Naigong (Yu, Naigong.) (学者:于乃功) | Xu, Feng (Xu, Feng.) | Ruan, Xiaogang (Ruan, Xiaogang.) | 展开

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EI Scopus

摘要:

Being able to locate a specified people and to simultaneously follow him in an unknown environment has become an essential capability of service robots. Lots of efficient methods for implementing this so-called people tracking and following capability have been proposed. However, these mature methods cannot be applied for civil use readily for their high cost. The appearance of low-cost RGB-D camera solves this problem and there have been sorts of methods describing how to build a people tracking and following module with RGB-D camera. For the sake of cost control, the modules based on low-cost RGB-D camera always suffer from noise, low-range and low-precision problem. We present a method that implements people tracking and following based on RGB-D data generated by Microsoft Kinect sensor, in indoor environment. Furthermore, we also discuss a set of methods to optimize the result in order to filter the noise, extend the detected range and decreasing the effect of low-precision. © 2013 TCCT, CAA.

关键词:

Face recognition Costs Cameras

作者机构:

  • [ 1 ] [Yu, Naigong]Institute of Artificial Intelligence and Robotics, Beijing University of Technology, Beijing, China
  • [ 2 ] [Xu, Feng]Institute of Artificial Intelligence and Robotics, Beijing University of Technology, Beijing, China
  • [ 3 ] [Ruan, Xiaogang]Institute of Artificial Intelligence and Robotics, Beijing University of Technology, Beijing, China
  • [ 4 ] [Wang, Jian]Institute of Artificial Intelligence and Robotics, Beijing University of Technology, Beijing, China

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来源 :

ISSN: 1934-1768

年份: 2013

页码: 5796-5801

语种: 英文

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