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25 Remote Warehouse Computers Reference- General

Kluwer International Series in Video Computing #1: Face Detection and Gesture Recognition for Human-Computer Interaction

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Kluwer International Series in Video Computing #1: Face Detection and Gesture Recognition for Human-Computer Interaction Cover

 

Synopses & Reviews

Publisher Comments:

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.

Book News Annotation:

Researchers have been working under the premise that a computer can recognize information about a user's identity, state, and intent from facial expression and hand motions. Because of the immense number of variables in processing facial images (scale, location, orientations, pose, etc) the first step is getting computers to recognize faces. Gesture recognition is similarly complicated. Yang (Honda R&D Americas, Inc.) and Ahuja (computer science, U. of Illinois at Urbana-Champaign) present their own work in these related fields and summarize some recent findings by other researchers. They present an algorithm for extracting and recognizing motion patterns, present experimental results on motion patterns related to 40 American Sign Language gestures, discuss a model that extracts skin tone regions for the reduction of computation needed, present experimental results for the model, and describe a (Sparse Network of Winnows) SnoW-based face detector. Finally future directions of research are examined.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Methods for human computer interaction (HCI) are being developed which do not rely on traditional devices such as keyboards and displays. This text introduces the frontiers of vision-based interfaces for intelligent human computer interaction, focusing on face detection and gesture recognition.

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.

Product Details

ISBN:
9780792374091
Author:
Yang, Ming-Hsuan
Publisher:
Kluwer Academic Publishers
Author:
Ahuja, Narendra
Author:
Yang, Ming-Hsuan
Location:
Boston
Subject:
Electronics - General
Subject:
Computer Graphics - General
Subject:
Radar
Subject:
Image processing
Subject:
Human-computer interaction
Subject:
Interactive multimedia
Subject:
Image processing -- Digital techniques.
Subject:
Image Processing and Computer Vision
Subject:
User Interfaces and Human Computer Interaction
Subject:
Computer Imaging, Vision, Pattern Recognition and Graphics
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Mechanical engineering
Subject:
Computers-Reference - General
Copyright:
Edition Number:
1
Edition Description:
Book
Series:
Kluwer International Series in Video Computing
Series Volume:
1
Publication Date:
January 2001
Binding:
HARDCOVER
Language:
English
Illustrations:
Yes
Pages:
194
Dimensions:
235 x 155 mm 1020 gr

Related Subjects

Computers and Internet » Computers Reference » General
Engineering » Communications » Radar and Microwave
Science and Mathematics » Electricity » General Electronics
Science and Mathematics » Environmental Studies » Environment

Kluwer International Series in Video Computing #1: Face Detection and Gesture Recognition for Human-Computer Interaction New Hardcover
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Product details 194 pages Kluwer Academic Publishers - English 9780792374091 Reviews:
"Synopsis" by , Methods for human computer interaction (HCI) are being developed which do not rely on traditional devices such as keyboards and displays. This text introduces the frontiers of vision-based interfaces for intelligent human computer interaction, focusing on face detection and gesture recognition.
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