Sensor Fusion of Vision System and Thermal Imaging Sensor for Target Tracking

• Umetani Tomohiro

  Department of Intelligence and Informatics, Konan University

• Kuga Naomichi

  Graduate School of Natural Science, Konan University

• Tanaka Misahiro

  Department of Intelligence and Informatics, Konan University

• Wada Masahiro

  Department of Intelligence and Informatics, Konan University

• Ito Minoru

  Department of Control Engineering, Maizuru National College of Technology

抄録

This paper describes a method for sensor data fusion of thermal imaging sensor and a vision system such as a camera for probabilistic target tracking for autonomous robots. Person tracking is a crucial issue for achieving tasks for communication with people and following the target person by the robots. The integration of multiple kinds of sensor data for validation of the recognition result is desirable because of the uncertainty of recognition results based on the vision system. We use a stochastic model based on asynchronous updating the model of the tracking target by measurement data of the camera and the thermal imaging sensor. Experimental results indicate the feasibility of the proposed method.

収録刊行物

• Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications

  Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2012 (0), 165-168, 2012-05-05

  システム制御情報学会ストカスティックシステムシンポジウム

キーワード

• Materials Science (miscellaneous)

詳細情報

• CRID: 1390564237988818048
• NII論文ID: 130007377374
• DOI: 10.5687/sss.2012.165
• ISSN: 21884749
• ISSN: 21884730
• Web Site: https://www.jstage.jst.go.jp/article/sss/2012/0/2012_165/_pdf
• 本文言語コード: en
• データソース種別:
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• 抄録ライセンスフラグ: 使用不可