Data & IT
Analyzing Video Sequences of Multiple Humans
Jun Ohya • Akira Utsumi • Junji Yamato
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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.
- Format: Inbunden
- ISBN: 9781402070211
- Språk: Engelska
- Antal sidor: 138
- Utgivningsdatum: 2002-03-01
- Förlag: Springer-Verlag New York Inc.