Motion-Based Recognition (Paperback, Softcover reprint of hardcover 1st ed. 1997)

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.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Computational Imaging and Vision, 9
Release date:	December 2010
First published:	1997
Editors:	Mubarak Shah • Ramesh Jain
Dimensions:	240 x 160 x 20mm (L x W x T)
Format:	Paperback
Pages:	374
Edition:	Softcover reprint of hardcover 1st ed. 1997
ISBN-13:	978-90-481-4870-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	90-481-4870-7
Barcode:	9789048148707

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