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Published by Springer Netherlands, 1997
ISBN 10: 9048148707 ISBN 13: 9789048148707
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Published by Springer Netherlands, 1997
ISBN 10: 0792346181 ISBN 13: 9780792346180
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Gebunden. Condition: New. 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 lon.
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 374 | Sprache: Englisch | Produktart: Bücher | 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.
Taschenbuch. Condition: Neu. Motion-Based Recognition | Mubarak Shah (u. a.) | Taschenbuch | Computational Imaging and Vision | xiv | Englisch | 2010 | Springer | EAN 9789048148707 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Condition: 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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Published by Springer Nature B.V. Jul 1997, 1997
ISBN 10: 0792346181 ISBN 13: 9780792346180
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Buch. Condition: 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.
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Published by Xinhua Publishing House, 2020
ISBN 10: 7516652105 ISBN 13: 9787516652107
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paperback. Condition: New. Paperback. Pub Date: 2020-07-01 Pages: 157 Language: Chinese Publisher: Xinhua Press Human Hand Motion Capture and Recognition Based on Multimodal Perception is a theoretical monograph by Dr. Xue Yaxu from Pingdingshan University. Henan Province. Supported by the Pingdingshan College High-level Talents Startup Fund Project.?Based on the perspective of artificial intelligence. the manuscript completed the research of human hand motion capture and recognition based on multi-modal perception. an.
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Published by Springer Netherlands Dez 2010, 2010
ISBN 10: 9048148707 ISBN 13: 9789048148707
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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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Condition: New. Print on Demand pp. 388 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.