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

by Ming-Hsuan Yang (Author), Narendra Ahuja (Author) "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..." (more)
Key Phrases: gestural motion trajectories, nonface images, fewer false detections, Sparse Network of Winnows, American Sign Language (more...)

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Product Description
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

• 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)
• Average Customer Review: No customer reviews yet. Be the first.
• Amazon.com Sales Rank: #3,085,176 in Books (See Bestsellers in Books)