Analyzing Video Sequences of Multiple Humans : Tracking, Posture Estimation and Behavior Recognition /
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 re...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Boston, MA :
Springer US,
2002.
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| Series: | Kluwer international series in video computing ;
3. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xxii, 138 pages) |
| ISBN: | 9781461510031 (electronic bk.) 1461510031 (electronic bk.) |
| ISSN: | 1571-5205 ; |