Real-Time Vision for Human-Computer Interaction
As computers become prevalent in all aspects of daily life, the need for natural and effective Human-Computer Interaction (HCI) becomes increasingly important. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. Howe
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Real-Time Vision for Human-Computer Interaction
Edited by Branislav Kisacanin Delphi Corporation
Vladimir Pavlovic Rutgers University
Thomas S. Huang University of Illinois at Urbana-Champaign
Springer
Branislav Kisacanin Delphi Corporation Vladimir Pavlovic Rutgers University Thomas S. Huang University of Illinois at Urbana-Champaign Library of Congress Cataloging-in-Publication Data A CLP. Catalogue record for this book is available From the Library of Congress ISBN-10: 0-387-27697-1 (HB) e-ISBN-10: 0-387-27890-7 ISBN-13: 978-0387-27697-7 (HB) e-ISBN-13: 978-0387-27890-2 © 2005 by Springer Science+Business Media, Inc. All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science + Business Media, Inc., 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed in the United States of America
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To Saska, Milena, and Nikola BK To Karin, Irena, and Lara VP ToPei TSH
Contents
Part I Introduction R T V 4 H C I : A Historical Overview Matthew Turk R e a l - T i m e A l g o r i t h m s : F r o m Signal Processing t o C o m p u t e r Vision Branislav Kisacanin, Vladimir Pavlovic
3
15
P a r t II Advances in R T V 4 H C I Recognition of Isolated Fingerspelling G e s t u r e s Using D e p t h Edges Rogerio Feris, Matthew Turk, Ramesh Raskar, Kar-Han Tan, Gosuke Ohashi
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A p p e a r a n c e - B a s e d R e a l - T i m e U n d e r s t a n d i n g of G e s t u r e s Using P r o j e c t e d Euler Angles Sharat Chandran, Abhineet Sawa
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Flocks of F e a t u r e s for Tracking A r t i c u l a t e d Objects Mathias Kolsch, Matthew Turk
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Static H a n d P o s t u r e Recognition Based on Okapi-Chamfer Matching Harming Zhou, Dennis J, Lin, Thomas S. Huang
85
Visual M o d e l i n g of D y n a m i c G e s t u r e s Using 3D A p p e a r a n c e and Motion Features Guangqi Ye, Jason J. Corso, Gregory D. Hager
103
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Contents
Head and Facial Animation Tracking Using AppearanceAdaptive Models and Particle Filters Franck Davoine, Fadi Dornaika
121
A Real-Time Vision Interface Based on Gaze Detection EyeKeys John J. Magee, Margrit Betke, Matthew R. Scott, Benjamin N. Waber . . . 141 Map Building from Human-Computer Interactions Artur M. Arsenio
159
Real-Time Inference of Complex Mental States from Facial Expressions and Head Gestures Rana el Kaliouby, Peter Robinson
181
Epipolar Constrained User Pushbutton Selection in Projected Interfaces Amit Kale, Kenneth Kwan, Christopher Ja
