Ebook: Motion-Based Recognition

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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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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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.
Content:
Front Matter....Pages i-xiv
Visual Recognition of Activities, Gestures, Facial Expressions and Speech: An Introduction and a Perspective....Pages 1-14
Front Matter....Pages 15-15
Estimating Image Motion Using Temporal Multi-Scale Models of Flow and Acceleration....Pages 17-37
Learning Deformable Models for Tracking the Human Body....Pages 39-60
Cyclic Motion Analysis Using the Period Trace....Pages 61-85
Temporal Texture and Activity Recognition....Pages 87-124
Action Recognition Using Temporal Templates....Pages 125-146
Human Activity Recognition....Pages 147-170
Human Movement Analysis Based on Explicit Motion Models....Pages 171-198
Front Matter....Pages 199-199
State-Based Recognition of Gesture....Pages 201-226
Real-Time American Sign Language Recognition from Video Using Hidden Markov Models....Pages 227-243
Recognizing Human Motion Using Parameterized Models of Optical Flow....Pages 245-269
Facial Expression Recognition Using Image Motion....Pages 271-298
Front Matter....Pages 299-299
Learning Visual Models for Lipreading....Pages 301-320
Continuous Automatic Speech Recognition by Lipreading....Pages 321-343
Visually Recognizing Speech Using Eigensequences....Pages 345-371
Back Matter....Pages 373-373

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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.
Content:
Front Matter....Pages i-xiv
Visual Recognition of Activities, Gestures, Facial Expressions and Speech: An Introduction and a Perspective....Pages 1-14
Front Matter....Pages 15-15
Estimating Image Motion Using Temporal Multi-Scale Models of Flow and Acceleration....Pages 17-37
Learning Deformable Models for Tracking the Human Body....Pages 39-60
Cyclic Motion Analysis Using the Period Trace....Pages 61-85
Temporal Texture and Activity Recognition....Pages 87-124
Action Recognition Using Temporal Templates....Pages 125-146
Human Activity Recognition....Pages 147-170
Human Movement Analysis Based on Explicit Motion Models....Pages 171-198
Front Matter....Pages 199-199
State-Based Recognition of Gesture....Pages 201-226
Real-Time American Sign Language Recognition from Video Using Hidden Markov Models....Pages 227-243
Recognizing Human Motion Using Parameterized Models of Optical Flow....Pages 245-269
Facial Expression Recognition Using Image Motion....Pages 271-298
Front Matter....Pages 299-299
Learning Visual Models for Lipreading....Pages 301-320
Continuous Automatic Speech Recognition by Lipreading....Pages 321-343
Visually Recognizing Speech Using Eigensequences....Pages 345-371
Back Matter....Pages 373-373
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