Multimodal person tracking and attention classification

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

View Publication

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


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.

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)},
year = {2006},
month = {March},
pages = {347-348},
publisher = {ACM},
keywords = {Human-robot interaction, social robotics},
} 2017-09-13T10:42:52-04:00