2013年11月
Person tracking in large public spaces using 3-D range sensors
IEEE Transactions on Human-Machine Systems
- ,
- ,
- ,
- 巻
- 43
- 号
- 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.
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
- ID情報
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- DOI : 10.1109/THMS.2013.2283945
- ISSN : 2168-2291
- DBLP ID : journals/thms/BrscicKIM13
- SCOPUS ID : 84893063249