論文

査読有り
2013年11月

Person tracking in large public spaces using 3-D range sensors

IEEE Transactions on Human-Machine Systems
  • Dražen Brščić
  • ,
  • Takayuki Kanda
  • ,
  • Tetsushi Ikeda
  • ,
  • Takahiro Miyashita

43
6
開始ページ
522
終了ページ
534
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/THMS.2013.2283945

A method for tracking the position, orientation, and height of persons in large public environments is presented. Such a piece of information is known to be useful both for understanding their actions, as well as for applications such as human-robot interaction. We use multiple 3-D range sensors, which are mounted above human height to have less occlusion between persons. A computationally simple-tracking method is proposed that works on single sensor data and combines multiple sensors so that large areas can be covered with a minimum number of sensors. Moreover, it can work with different sensor types and is robust to the imperfect sensor measurements
therefore, it is possible to combine currently available 3-D range sensor solutions to achieve tracking in wide public spaces. The method was implemented in a shopping center environment, and it was shown that good tracking performance can be achieved. © 2013 IEEE.

リンク情報
DOI
https://doi.org/10.1109/THMS.2013.2283945
URL
http://dblp.uni-trier.de/db/journals/thms/thms43.html#journals/thms/BrscicKIM13

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