Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition - The International Series in Video Computing 3 (Paperback)
  • Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition - The International Series in Video Computing 3 (Paperback)
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Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition - The International Series in Video Computing 3 (Paperback)

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£149.99
Paperback 138 Pages / Published: 31/10/2012
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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.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461353461
Number of pages: 138
Weight: 260 g
Dimensions: 235 x 155 x 8 mm
Edition: Softcover reprint of the original 1st ed. 200

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