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The International Series in Video Computing

Analyzing Video Sequences of Multiple Humans

Tracking, Posture Estimation and Behavior Recognition

Authors: Ohya, Jun, Utsumi, Akira, Yamato, Junji

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About this book

Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition describes some computer vision-based methods that analyze video sequences of humans. More specifically, methods for tracking multiple humans in a scene, estimating postures of a human body in 3D in real-time, and recognizing a person's behavior (gestures or activities) are discussed. For the tracking algorithm, the authors developed a non-synchronous method that tracks multiple persons by exploiting a Kalman filter that is applied to multiple video sequences. For estimating postures, an algorithm is presented that locates the significant points which determine postures of a human body, in 3D in real-time. Human activities are recognized from a video sequence by the HMM (Hidden Markov Models)-based method that the authors pioneered. The effectiveness of the three methods is shown by experimental results.

Table of contents (5 chapters)

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-1-4615-1003-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-1-4020-7021-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-1-4613-5346-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Analyzing Video Sequences of Multiple Humans
Book Subtitle
Tracking, Posture Estimation and Behavior Recognition
Authors
Series Title
The International Series in Video Computing
Series Volume
3
Copyright
2002
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-1003-1
DOI
10.1007/978-1-4615-1003-1
Hardcover ISBN
978-1-4020-7021-1
Softcover ISBN
978-1-4613-5346-1
Series ISSN
1571-5205
Edition Number
1
Number of Pages
XXII, 138
Topics