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...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2002
|
| Ausgabe: | 1st ed. 2002 |
| Schriftenreihe: | The International Series in Video Computing
3 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XXII, 138 p) |
| ISBN: | 9781461510031 |
| DOI: | 10.1007/978-1-4615-1003-1 |
Internformat
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| 520 | |a 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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| author | Ohya, Jun Utsumi, Akira Yamato, Junji |
| author_facet | Ohya, Jun Utsumi, Akira Yamato, Junji |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-1-4615-1003-1 |
| edition | 1st ed. 2002 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:22Z |
| indexdate | 2024-07-10T09:01:34Z |
| institution | BVB |
| isbn | 9781461510031 |
| language | English |
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| series2 | The International Series in Video Computing |
| spelling | Ohya, Jun Verfasser aut Analyzing Video Sequences of Multiple Humans Tracking, Posture Estimation and Behavior Recognition by Jun Ohya, Akira Utsumi, Junji Yamato 1st ed. 2002 New York, NY Springer US 2002 1 Online-Ressource (XXII, 138 p) txt rdacontent c rdamedia cr rdacarrier The International Series in Video Computing 3 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 Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Multimedia Information Systems User Interfaces and Human Computer Interaction Optical data processing Multimedia information systems User interfaces (Computer systems) Bewegtes Bild (DE-588)4145128-4 gnd rswk-swf Videobild (DE-588)4563329-0 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Objektverfolgung (DE-588)4311226-2 gnd rswk-swf Videobild (DE-588)4563329-0 s Maschinelles Sehen (DE-588)4129594-8 s Bewegtes Bild (DE-588)4145128-4 s Objektverfolgung (DE-588)4311226-2 s DE-604 Utsumi, Akira aut Yamato, Junji aut Erscheint auch als Druck-Ausgabe 9781402070211 Erscheint auch als Druck-Ausgabe 9781461353461 Erscheint auch als Druck-Ausgabe 9781461510048 https://doi.org/10.1007/978-1-4615-1003-1 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Ohya, Jun Utsumi, Akira Yamato, Junji Analyzing Video Sequences of Multiple Humans Tracking, Posture Estimation and Behavior Recognition Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Multimedia Information Systems User Interfaces and Human Computer Interaction Optical data processing Multimedia information systems User interfaces (Computer systems) Bewegtes Bild (DE-588)4145128-4 gnd Videobild (DE-588)4563329-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Objektverfolgung (DE-588)4311226-2 gnd |
| subject_GND | (DE-588)4145128-4 (DE-588)4563329-0 (DE-588)4129594-8 (DE-588)4311226-2 |
| title | Analyzing Video Sequences of Multiple Humans Tracking, Posture Estimation and Behavior Recognition |
| title_auth | Analyzing Video Sequences of Multiple Humans Tracking, Posture Estimation and Behavior Recognition |
| title_exact_search | Analyzing Video Sequences of Multiple Humans Tracking, Posture Estimation and Behavior Recognition |
| title_exact_search_txtP | Analyzing Video Sequences of Multiple Humans Tracking, Posture Estimation and Behavior Recognition |
| title_full | Analyzing Video Sequences of Multiple Humans Tracking, Posture Estimation and Behavior Recognition by Jun Ohya, Akira Utsumi, Junji Yamato |
| title_fullStr | Analyzing Video Sequences of Multiple Humans Tracking, Posture Estimation and Behavior Recognition by Jun Ohya, Akira Utsumi, Junji Yamato |
| title_full_unstemmed | Analyzing Video Sequences of Multiple Humans Tracking, Posture Estimation and Behavior Recognition by Jun Ohya, Akira Utsumi, Junji Yamato |
| title_short | Analyzing Video Sequences of Multiple Humans |
| title_sort | analyzing video sequences of multiple humans tracking posture estimation and behavior recognition |
| title_sub | Tracking, Posture Estimation and Behavior Recognition |
| topic | Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Multimedia Information Systems User Interfaces and Human Computer Interaction Optical data processing Multimedia information systems User interfaces (Computer systems) Bewegtes Bild (DE-588)4145128-4 gnd Videobild (DE-588)4563329-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Objektverfolgung (DE-588)4311226-2 gnd |
| topic_facet | Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Multimedia Information Systems User Interfaces and Human Computer Interaction Optical data processing Multimedia information systems User interfaces (Computer systems) Bewegtes Bild Videobild Maschinelles Sehen Objektverfolgung |
| url | https://doi.org/10.1007/978-1-4615-1003-1 |
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