Analyzing Video Sequences of Multiple Humans / The International Series in Video Computing Bd.3 (PDF)
Tracking, Posture Estimation and Behavior Recognition
(Sprache: Englisch)
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,...
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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.
Bibliographische Angaben
- Autoren: Jun Ohya , Akira Utsumi , Junji Yamato
- 2012, 2002, 138 Seiten, Englisch
- Verlag: Springer, New York
- ISBN-10: 1461510031
- ISBN-13: 9781461510031
- Erscheinungsdatum: 06.12.2012
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- Größe: 17 MB
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