Analyzing Video Sequences of Multiple Humans : Tracking, Posture Estimation and Behavior Recognition PDF
by Jun Ohya, Akira Utsumi, Junji Yamato
Part of the The International Series in Video Computing series
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.
Information
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Download - Immediately Available
- Format:PDF
- Publisher:Springer US
- Publication Date:06/12/2012
- Category:
- ISBN:9781461510031
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer US
- Publication Date:06/12/2012
- Category:
- ISBN:9781461510031
