Ming-Hsuan Yang, Honda Fundamental Research Laboratories, Mountain View, CA, USA; N. Ahuja, University of Illinois at Urbana-Champaign, USA
Face Detection and Gesture Recognition for HumanComputer Interaction
2001. 200 p. (The International Series in Video Computing, Vol. 1) Hardcover
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154,95 € $209.00 SFr. 257.50 £122.50
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 ... more on http://springer.com/978-0-7923-7409-1
ISBN 978-0-7923-7409-1
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