Computational Imaging and Vision

By: Mubarak Shah (Editor), Ramesh Jain (Editor)

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Hardcover | 31 July 1997

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388 Pages

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25.4 x 17.15 x 2.54

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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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You Can Find This Book In

Non-Fiction Science Biology, Life Sciences Computing & I.T.Computer Science Artificial Intelligence Computer Vision Image Processing Engineering & Technology Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering

Robotics Other Technologies & Applied Sciences Applied Optics Graphical & Digital Media Applications Gardening

Contributors
Preface
Visual Recognition of Activities, Gestures, Facial Expressions and Speech: An Introduction and a Perspective	p. 1
Human Activity Recognition	p. 15
Estimating Image Motion Using Temporal Multi-Scale Models of Flow and Acceleration	p. 17
Learning Deformable Models for Tracking the Human Body	p. 39
Cyclic Motion Analysis Using the Period Trace	p. 61
Temporal Texture and Activity Recognition	p. 87
Action Recognition Using Temporal Templates	p. 125
Human Activity Recognition	p. 147
Human Movement Analysis Based on Explicit Motion Models	p. 171
Gesture Recognition and Facial Expression Recognition	p. 199
State-Based Recognition of Gesture	p. 201
Real-Time American Sign Language Recognition from Video Using Hidden Markov Models	p. 227
Recognizing Human Motion Using Parameterized Models of Optical Flow	p. 245
Facial Expression Recognition Using Image Motion	p. 271
Lipreading	p. 299
Learning Visual Models for Lipreading	p. 301
Continuous Automatic Speech Recognition by Lipreading	p. 321
Visually Recognizing Speech Using Eigensequences	p. 345
Table of Contents provided by Blackwell. All Rights Reserved.

Computational Imaging and Vision

At a Glance

Hardcover

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How to return your order

Defective items

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