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Item Details
| Title:
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ANALYZING VIDEO SEQUENCES OF MULTIPLE HUMANS
TRACKING, POSTURE ESTIMATION AND BEHAVIOR RECOGNITION |
| By: |
Jun Ohya, Akira Utsumi, Junji Yamato |
| Format: |
Hardback |
| List price:
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£153.00 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
1402070217 |
| ISBN 13: |
9781402070211 |
| Publisher: |
KLUWER ACADEMIC PUBLISHERS |
| Pub. date: |
31 March, 2002 |
| Series: |
The International Series in Video Computing v. 3 |
| Pages: |
138 |
| Description: |
Discusses 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). This title develops a non-synchronous method that tracks multiple persons by exploiting a Kalman filter that is applied to multiple video sequences. |
| Synopsis: |
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. |
| Illustrations: |
biography |
| Publication: |
US |
| Imprint: |
Kluwer Academic Publishers |
| Returns: |
Returnable |
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