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Motion-Based Recognition

  • Book
  • © 1997

Overview

Editors:
  1. Mubarak Shah

    1. Computer Vision Laboratory, Computer Science Department, University of Central Florida, Orlando, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Ramesh Jain

    1. Electrical and Computer Engineering, University of California, San Diego, San Diego, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Computational Imaging and Vision (CIVI, volume 9)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Visual Recognition of Activities, Gestures, Facial Expressions and Speech: An Introduction and a Perspective

    1. Visual Recognition of Activities, Gestures, Facial Expressions and Speech: An Introduction and a Perspective

      • Mubarak Shah, Ramesh Jain
      Pages 1-14

  3. Human Activity Recognition

    1. Front Matter

      Pages 15-15
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    2. Estimating Image Motion Using Temporal Multi-Scale Models of Flow and Acceleration

      • Yaser Yacoob, Larry S. Davis
      Pages 17-37

    3. Learning Deformable Models for Tracking the Human Body

      • Adam Baumberg, David Hogg
      Pages 39-60

    4. Cyclic Motion Analysis Using the Period Trace

      • Steven M. Seitz, Charles R. Dyer
      Pages 61-85

    5. Temporal Texture and Activity Recognition

      • Ramprasad Polana, Randal Nelson
      Pages 87-124

    6. Action Recognition Using Temporal Templates

      • Aaron F. Bobick, James W. Davis
      Pages 125-146

    7. Human Activity Recognition

      • Nigel H. Goddard
      Pages 147-170

    8. Human Movement Analysis Based on Explicit Motion Models

      • K. Rohr
      Pages 171-198

  4. Gesture Recognition and Facial Expression Recognition

    1. Front Matter

      Pages 199-199
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    2. State-Based Recognition of Gesture

      • Aaron F. Bobick, Andrew D. Wilson
      Pages 201-226

    3. Real-Time American Sign Language Recognition from Video Using Hidden Markov Models

      • Thad Starner, Alex Pentland
      Pages 227-243

    4. Recognizing Human Motion Using Parameterized Models of Optical Flow

      • Michael J. Black, Yaser Yacoob, Shanon X. Ju
      Pages 245-269

    5. Facial Expression Recognition Using Image Motion

      • Irfan Essa, Alex Pentland
      Pages 271-298

  5. Lipreading

    1. Front Matter

      Pages 299-299
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    2. Learning Visual Models for Lipreading

      • Christoph Bregler, Stephen M. Omohundro
      Pages 301-320

    3. Continuous Automatic Speech Recognition by Lipreading

      • Alan J. Goldschen, Oscar N. Garcia, Eric D. Petajan
      Pages 321-343

    4. Visually Recognizing Speech Using Eigensequences

      • Nan Li, Shawn Dettmer, Mubarak Shah
      Pages 345-371

  6. Back Matter

    Pages 373-373
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Keywords

About this book

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.

Editors and Affiliations

  • Computer Vision Laboratory, Computer Science Department, University of Central Florida, Orlando, USA

    Mubarak Shah

  • Electrical and Computer Engineering, University of California, San Diego, San Diego, USA

    Ramesh Jain

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