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Ajouter au panierHardcover. Etat : Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Couverture différente. Edition 1997. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Different cover. Edition 1997. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Edité par Springer Netherlands, Springer Netherlands Jul 1997, 1997
ISBN 10 : 0792346181 ISBN 13 : 9780792346180
Langue: anglais
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Ajouter au panierBuch. Etat : Neu. Neuware -Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition.This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition.Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing. 388 pp. Englisch.
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Edité par Springer Netherlands, Springer Netherlands, 2010
ISBN 10 : 9048148707 ISBN 13 : 9789048148707
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing.
Edité par Springer Netherlands, Springer Netherlands, 1997
ISBN 10 : 0792346181 ISBN 13 : 9780792346180
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 59,97
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing.
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Ajouter au panierEtat : New. pp. 388.
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Ajouter au panierPaperback. Etat : Brand New. 388 pages. 9.25x6.25x0.88 inches. In Stock.
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Ajouter au panierHardcover. Etat : new. Hardcover. The "Robust Motion Recognition Based on Sensor Technology" Special Issue aims to bring together recent research on motion recognition using sensor technology. Sensor-based motion recognition has become increasingly important in many domains, such as healthcare, sports, and robotics, as it enables the collection and analysis of accurate and reliable motion data. In fact, it is possible to model motion through different sensor technologies, including signals from inertial and physiological sensors embedded in wearables or smart devices, or images and video frames from cameras.This Special Issue covers a wide range of topics, including signal processing techniques, architectures, learning algorithms, intelligent sensing systems, wearable sensors, machine/deep learning and artificial intelligence in sensing and imaging, and their application for motion modeling and recognition. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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EUR 56,50
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Ajouter au panierPaperback. Etat : new. Paperback. Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing. Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Kluwer Academic Publishers, Dordrecht, 1997
ISBN 10 : 0792346181 ISBN 13 : 9780792346180
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 56,92
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Ajouter au panierHardcover. Etat : new. Hardcover. Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and co-ordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides a state-of-the-art study of this rapidly developing discipline. It consists of a collection of invited chapters by researchers throughout the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. This volume should be of interest to researchers and postgraduate students whose work involves computer vision, robotics and image processing. Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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EUR 98,46
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Ajouter au panierHardcover. Etat : new. Hardcover. The "Robust Motion Recognition Based on Sensor Technology" Special Issue aims to bring together recent research on motion recognition using sensor technology. Sensor-based motion recognition has become increasingly important in many domains, such as healthcare, sports, and robotics, as it enables the collection and analysis of accurate and reliable motion data. In fact, it is possible to model motion through different sensor technologies, including signals from inertial and physiological sensors embedded in wearables or smart devices, or images and video frames from cameras.This Special Issue covers a wide range of topics, including signal processing techniques, architectures, learning algorithms, intelligent sensing systems, wearable sensors, machine/deep learning and artificial intelligence in sensing and imaging, and their application for motion modeling and recognition. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 116,34
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Ajouter au panierPaperback. Etat : new. Paperback. Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing. Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Edité par Kluwer Academic Publishers, Dordrecht, 1997
ISBN 10 : 0792346181 ISBN 13 : 9780792346180
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
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Ajouter au panierHardcover. Etat : new. Hardcover. Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and co-ordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides a state-of-the-art study of this rapidly developing discipline. It consists of a collection of invited chapters by researchers throughout the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. This volume should be of interest to researchers and postgraduate students whose work involves computer vision, robotics and image processing. Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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