Machine learning vision based motion (23 résultats)
Langue : anglais
Edité par Springer, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
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Etat : New. In.
Langue : anglais
Edité par Springer, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
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Etat : New. In.
Langue : anglais
Edité par Springer, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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Etat : New. pp. 388.
Autres imagesLangue : anglais
Edité par Springer, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
Vendeur : preigu, Osnabrück, Allemagnepreigu
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Taschenbuch. Etat : Neu. Machine Learning for Vision-Based Motion Analysis | Theory and Techniques | Liang Wang (u. a.) | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xiv | Englisch | 2013 | Springer | EAN 9781447126072 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Hei…delberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Langue : anglais
Edité par Springer, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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EUR 219,93
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Etat : New. pp. 388.
Langue : anglais
Edité par Springer, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
Vendeur : Mispah books, Redhill, SURRE, Royaume-UniMispah books
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Hardcover. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Langue : anglais
Edité par Springer London, Springer, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 168,73
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine inte…rfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.
Langue : anglais
Edité par Springer London, Springer, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 168,73
EUR 64,09 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces,… the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.
Langue : anglais
Edité par Springer, 2012
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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Paperback. Etat : Brand New. 2011 edition. 386 pages. 9.25x6.10x0.92 inches. In Stock.
Langue : anglais
Edité par Springer-Verlag New York Inc, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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Hardcover. Etat : Brand New. 372 pages. 9.25x6.25x1.00 inches. In Stock.
Langue : anglais
Edité par Springer, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
- impression à la demande
Vendeur : Brook Bookstore On Demand, Napoli, NA, ItalieBrook Bookstore On Demand
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Etat : new. Questo è un articolo print on demand.
Langue : anglais
Edité par Springer, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
- impression à la demande
Vendeur : Brook Bookstore On Demand, Napoli, NA, ItalieBrook Bookstore On Demand
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
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Etat : new. Questo è un articolo print on demand.
Langue : anglais
Edité par Springer London, Springer London Jan 2013, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to hu…man-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval. 388 pp. Englisch.
Langue : anglais
Edité par Springer London Nov 2010, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
- impression à la demande
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 160,49
EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-mac…hine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval. 388 pp. Englisch.
Langue : anglais
Edité par Springer London, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
- impression à la demande
Vendeur : moluna, Greven, Allemagnemoluna
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive and accessible review of vision-based motion analysisHighlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine… learning perspectiveDescribes the benefits of collaboration .
Langue : anglais
Edité par Springer London, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
- impression à la demande
Vendeur : moluna, Greven, Allemagnemoluna
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 136,16
EUR 48,99 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive and accessible review of vision-based motion analysisHighlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspectiveDesc…ribes the benefits of collaboration .
Autres imagesLangue : anglais
Edité par Springer, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
- impression à la demande
Vendeur : preigu, Osnabrück, Allemagnepreigu
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Buch. Etat : Neu. Machine Learning for Vision-Based Motion Analysis | Theory and Techniques | Liang Wang (u. a.) | Buch | Advances in Computer Vision and Pattern Recognition | xiv | Englisch | 2010 | Springer | EAN 9780857290564 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juerg…en[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Langue : anglais
Edité par Springer, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
- impression à la demande
Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
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Etat : New. Print on Demand pp. 388.
Langue : anglais
Edité par Springer London, Springer Nov 2010, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
- impression à la demande
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine… interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 388 pp. Englisch.
Langue : anglais
Edité par Springer London, Springer Jan 2013, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
- impression à la demande
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 160,49
EUR 60,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-…machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 388 pp. Englisch.
Langue : anglais
Edité par Springer, 2013
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture souple
- impression à la demande
Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios
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EUR 212,97
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Etat : New. PRINT ON DEMAND pp. 388.
Langue : anglais
Edité par Springer, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
- impression à la demande
Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
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Etat : New. Print on Demand pp. 388 Illus.
Langue : anglais
Edité par Springer, 2010
Série : Advances in Computer Vision and Pattern Recognition, Livre 17 sur 86. Livre 17 sur 86 - Advances in Computer Vision and Pattern Recognition
- Couverture rigide
- impression à la demande
Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
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Etat : New. PRINT ON DEMAND pp. 388.
