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Robust Tracking of People by a Mobile Robotic Agent (1999)

Abstract
We present methods for tracking people in dynamic and changing environments from camera mounted on a mobile robot. We describe processes to extract color, motion, and depth information from video and we present methods to merge these processes to allow for reliable tracking of people. We discuss how this merging of different measurements can aid in instances where there is motion in the scene due to large movements by people, camera movements, lighting variations, even in the presence of skin-like colors in the scene. We also apply the results from our tracking system for gesture recognition in the context of human-robot interaction.

Publication details
Download http://hdl.handle.net/1853/3386
Publisher Georgia Institute of Technology
Repository Georgia Tech (United States)
Keywords People-tracking, Gesture recognition, Vision-based user interfaces, Robot vision
Type Technical Report
Language Englisch
Relation GVU Technical Report;GIT-GVU-99-19

Cited publications (6)
View-Based and Modular Eigenspaces for Face Recognition (1994)
Template-Based Recognition of Pose and Motion Gestures On a Mobile Robot (1998)
Skin-Color Modeling and Adaptation (1997)
Parametrized Structure from Motion for 3D Adaptive Feedback Tracking of Faces (1996)
Real-time self-calibrating stereo person tracking using 3-D shape estimation from blob features (1996)
Small Vision Systems: Hardware and Implementation (1998)