A low-cost real-time stereo vision system for looking at people

23 November 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 767-772
https://doi.org/10.1109/isie.1997.648636

Abstract

Real-time computer vision systems that observe the actions of people have received increasing attention as they are important for a broad range of applications. Examples are intelligent man-machine interfaces or intelligent rooms that have the capability to understand the actions of their inhabitants. In this paper we present the design of a stereo vision system for the precise and robust real time tracking of human hands and heads that unlike previous systems uses low-cost industry standard components. The system uses color and motion information to find the human. Using previously calibrated cameras the 3D positions of hands and head are calculated. Because of its client-server architecture the system is scalable to an arbitrary number of cameras and application processes. Experimental results for the performance of the system are given.

Keywords

This publication has 6 references indexed in Scilit:

Tracking faces
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
Pfinder: real-time tracking of the human body
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
Recognizing articulated objects with information theoretic methods
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
Building topological maps by looking at people: an example of cooperation between intelligent spaces and robots
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
Real-time self-calibrating stereo person tracking using 3-D shape estimation from blob features
Published by Institute of Electrical and Electronics Engineers (IEEE) ,1996
A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses
IEEE Journal on Robotics and Automation, 1987