Face Detection and Gesture Recognition for Human-Computer Interaction / Edition 1

Face Detection and Gesture Recognition for Human-Computer Interaction / Edition 1

by Ming-Hsuan Yang, Narendra Ahuja
     
 

ISBN-10: 0792374096

ISBN-13: 9780792374091

Pub. Date: 08/15/2001

Publisher: Springer US

With the ubiquity of new information technology and media, more effective and friendly methods for human computer interaction (HCI) are being developed which do not rely on traditional devices such as keyboards, mice and displays. The first step for any intelligent HCI system is face detection, and one of most friendly HCI systems is hand gesture.
Face

Overview

With the ubiquity of new information technology and media, more effective and friendly methods for human computer interaction (HCI) are being developed which do not rely on traditional devices such as keyboards, mice and displays. The first step for any intelligent HCI system is face detection, and one of most friendly HCI systems is hand gesture.
Face Detection and Gesture Recognition for Human-Computer Interaction introduces the frontiers of vision-based interfaces for intelligent human computer interaction with focus on two main issues: face detection and gesture recognition. The first part of the book reviews and discusses existing face detection methods, followed by a discussion on future research. Performance evaluation issues on the face detection methods are also addressed. The second part discusses an interesting hand gesture recognition method based on a generic motion segmentation algorithm. The system has been tested with gestures from American Sign Language with promising results. We conclude this book with comments on future work in face detection and hand gesture recognition.
Face Detection and Gesture Recognition for Human-Computer Interaction will interest those working in vision-based interfaces for intelligent human computer interaction. It also contains a comprehensive survey on existing face detection methods, which will serve as the entry point for new researchers embarking on such topics. Furthermore, this book also covers in-depth discussion on motion segmentation algorithms and applications, which will benefit more seasoned graduate students or researchers interested in motion pattern recognition.

Product Details

ISBN-13:
9780792374091
Publisher:
Springer US
Publication date:
08/15/2001
Series:
International Series in Video Computing, #1
Edition description:
2001
Pages:
182
Product dimensions:
6.40(w) x 9.30(h) x 0.90(d)

Table of Contents

Preface. Acknowledgments. 1. Introduction. 2. Detecting Faces in Still Images. 3. Recognizing Hand Gestures Using Motion Trajectories. 4. Skin Color Model. 5. Face Detection Using Multimodal Density Models. 6. Learning to Detect Faces with SNoW. 7. Conclusion and Future Work. Appendices. References. Index.

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