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Face Detection and Gesture Recognition for Human-Computer Interaction (The International Series in Video Computing) [Hardcover]

Ming-Hsuan Yang (Author), Narendra Ahuja (Author)

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Book Description

ISBN-10: 0792374096 | ISBN-13: 978-0792374091 | Publication Date: August 16, 2001 | Edition: 1

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.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } 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.

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Product Details

Hardcover: 200 pages
Publisher: Springer; 1 edition (August 16, 2001)
Language: English
ISBN-10: 0792374096
ISBN-13: 978-0792374091
Product Dimensions: 9.6 x 6.2 x 0.7 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #2,624,697 in Books (See Top 100 in Books)

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Inside This Book (learn more)

First Sentence:
Images containing faces are essential to intelligent vision-based human computer interaction, and research efforts in face processing include face recognition, face tracking, pose estimation, and facial expression recognition. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
gestural motion trajectories, nonface images, fewer false detections, skin color histogram, nonface patterns, nonface examples, factor analyzers, motion segmentation algorithm, face detection methods, skin color model, discriminative methods, skin color pixels, normalized intensity values, enclosing window, hand gesture recognition, face localization, face detection algorithms, estimated density function, template matching methods, benchmark data sets, dimensional image space, detected face, human skin color, face detector, human face detection

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Sparse Network of Winnows, American Sign Language

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Citations (learn more)

This book cites 20 books:

Face Recognition: From Theory to Applications (NATO ASI Series / Computer and Systems Sciences) by Harry Wechsler on 4 pages
Face Recognition (Special Issues of the European Journal of Cognitive Psychology) by Vicki Bruce on 4 pages
Adaptive Control by B. D. O. Anderson in Back Matter
Computer Vision by Dana H. Ballard in Back Matter
Advances in Neural Information Processing Systems 12 by Sara A. Solla in Back Matter

See all 20 books this book cites

2 books cite this book:

Multimodal Video Characterization and Summarization (The International Series in Video Computing) by Michael A. Smith in Front Matter
Handbook of Face Recognition by Stan Z. Li on page 135

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Handbook of Face Recognition by Stan Z. Li

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Advances in Neural Networks - ISNN 2005 by Jun Wang

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