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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Analyzing Video Sequences of Multiple Humans
• Subtitle: Tracking, Posture Estimation and Behavior Recognition
• Author: Jun Ohya, Akira Utsumi, Junji Yamato
• Language: English
• Binding: Hardback
• Number of pages: 138
• EAN: 9781402070211
• ISBN: 1402070217
• ID: 05256311
• Publisher: Springer, Berlin
• Weight: 413 g
• Dimensions: 234 × 156 × 11 mm
• Published: 2002

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