Motion-Based Recognition (Hardcover)

Mubarak Shah

ISBN 10: 0792346181 / ISBN 13: 9780792346180

Verlag: Kluwer Academic Publishers, Dordrecht, 1997

Beschreibung

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.

Bestandsnummer des Verkäufers 9780792346180

Bibliografische Details

• Titel: Motion-Based Recognition (Hardcover)
• Verlag: Kluwer Academic Publishers, Dordrecht
• Erscheinungsjahr: 1997
• Sprache: Englisch
• ISBN-10: 0792346181
• ISBN-13: 9780792346180
• Einband: Hardcover
• Zustand: new

Über diesen Titel

Inhaltsangabe

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.