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Analyzing Video Sequences of Multiple Humans
Tracking, Posture Estimation and Behavior Recognition
Jun Ohya, Akira Utsumi, Junji Yamato
259,45 €
+ 518 points
Format
Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 138
- Langue:
- Anglais
- Collection :
- Tome:
- n° 3
Caractéristiques
- EAN:
- 9781402070211
- Date de parution :
- 31-03-02
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 161 mm x 248 mm
- Poids :
- 408 g
