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Analyzing Video Sequences of Multiple Humans - Tracking, Posture Estimation and Behavior Recognition (THE KLUWER INTERNATIONAL SERIES IN VIDEO COMPUTING ... International Series in Video Computing) [Kindle Edition]

Jun Ohya , Akira Utsumi , Junji Yamato

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Product Description

Product Description

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.

Product details

  • Format: Kindle Edition
  • File Size: 4137 KB
  • Print Length: 138 pages
  • Publisher: Springer; 1 edition (31 Mar. 2002)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B000SPEVXO
  • Text-to-Speech: Enabled
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