The International Series in Video Computing

Face Detection and Gesture Recognition for Human-Computer Interaction

Authors: Ming-Hsuan Yang, Ahuja, Narendra

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About this book

Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener­ ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen­ erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de­ rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.

Table of contents (7 chapters)

  • Introduction

    Yang, Ming-Hsuan (et al.)

    Pages 1-5

  • Detecting Faces in Still Images

    Yang, Ming-Hsuan (et al.)

    Pages 7-52

  • Recognizing Hand Gestures Using Motion Trajectories

    Yang, Ming-Hsuan (et al.)

    Pages 53-81

  • Skin Color Model

    Yang, Ming-Hsuan (et al.)

    Pages 83-95

  • Face Detection Using Multimodal Density Models

    Yang, Ming-Hsuan (et al.)

    Pages 97-122

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4615-1423-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $319.00
price for USA
  • ISBN 978-0-7923-7409-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-1-4613-5546-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Face Detection and Gesture Recognition for Human-Computer Interaction
Authors
Series Title
The International Series in Video Computing
Series Volume
1
Copyright
2001
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-1423-7
DOI
10.1007/978-1-4615-1423-7
Hardcover ISBN
978-0-7923-7409-1
Softcover ISBN
978-1-4613-5546-5
Series ISSN
1571-5205
Edition Number
1
Number of Pages
XII, 182
Topics