Multimodal person tracking and attention classification

Marek Piotr Michalowski and Reid Simmons
Proceedings of the 1st Annual Conference on Human-Robot Interaction (HRI 2006), March, 2006, pp. 347-348.


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Abstract
The problems of human detection, tracking, and attention recognition can be solved more effectively by integrating multiple sensory modalities, such as vision and range data. We present a system that uses a laser range scanner and a single camera to detect and track people, and to classify their attention relative to a socially interactive robot.

Keywords
Human-robot interaction, social robotics

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Quality of Life Technology Center
Associated Lab(s) / Group(s): Reliable Autonomous Systems Lab and Human-Robot Interaction Group
Associated Project(s): Social Robots and Roboceptionist
Number of pages: 2

Text Reference
Marek Piotr Michalowski and Reid Simmons, "Multimodal person tracking and attention classification," Proceedings of the 1st Annual Conference on Human-Robot Interaction (HRI 2006), March, 2006, pp. 347-348.

BibTeX Reference
@inproceedings{Michalowski_2006_5765,
   author = "Marek Piotr Michalowski and Reid Simmons",
   title = "Multimodal person tracking and attention classification",
   booktitle = "Proceedings of the 1st Annual Conference on Human-Robot Interaction (HRI 2006)",
   pages = "347-348",
   publisher = "ACM",
   month = "March",
   year = "2006",
}