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Analyzing Video Sequences of Multiple Humans

Analyzing Video Sequences of Multiple Humans

von Akira Utsumi, Jun Ohya und Junji Yamato
Softcover - 9781461353461
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Beschreibung

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.

Tracking, Posture Estimation and Behavior Recognition

Details

Verlag Springer US
Ersterscheinung 31. Oktober 2012
Maße 23.5 cm x 15.5 cm
Gewicht 260 Gramm
Format Softcover
ISBN-13 9781461353461
Seiten 138

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