Detection and estimation of pointing gestures in dense disparity maps

Nebojsa Jojic, Barry Brumitt, Brian Meyers, Steve Harris, Thomas Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we describe a real-time system for detecting pointing gestures and estimating the direction of pointing using stereo cameras. Previously, similar systems were implemented using color-based blob trackers, which relied on effective skin color detection; this approach is sensitive to lighting changes and the clothing worn by the user. In contrast, we used a stereo system that produces dense disparity maps in real-time. Disparity maps are considerably less sensitive to lighting changes. Our system subtracts the background, analyzes the foreground pixels to break the body into parts using a robust mixture model, and estimates the direction of pointing. We have tested the system on both coarse and fine pointing by selecting the targets in a room and controlling the cursor on a wall screen, respectively.

Original languageEnglish (US)
Title of host publicationProceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
PublisherIEEE Computer Society
Pages468-475
Number of pages8
ISBN (Print)0769505805, 9780769505800
DOIs
StatePublished - 2000
Event4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000 - Grenoble, France
Duration: Mar 28 2000Mar 30 2000

Publication series

NameProceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000

Conference

Conference4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
CountryFrance
CityGrenoble
Period3/28/003/30/00

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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