Ohya / Utsumi / Yamato

Analyzing Video Sequences of Multiple Humans

Tracking, Posture Estimation and Behavior Recognition
Springer Book Archives
2002. Buch. xxii, 138 S.: Bibliographien. Hardcover
Springer ISBN 978-1-4020-7021-1
Format (B x L): 15,5 x 23,5 cm
Gewicht: 910 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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.



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