Multimodal person tracking and attention classification

Authors:
Marek P. Michalowski;Reid Simmons
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Year:
2006

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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.