Motion-Based Recognition
Springer (Verlag)
978-90-481-4870-7 (ISBN)
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.
1 Visual Recognition of Activities, Gestures, Facial Expressions and Speech: An Introduction and a Perspective.- I Human Activity Recognition.- 2 Estimating Image Motion Using Temporal Multi-Scale Models of Flow and Acceleration.- 3 Learning Reformable Models for Tracking the Human Body.- 4 Cyclic Motion Analysis Using the Period Trace.- 5 Temporal Texture and Activity Recognition.- 6 Action Recognition Using Temporal Templates.- 7 Human Activity Recognition.- 8 Human Movement Analysis Based on Explicit Motion Models.- II Gesture Recognition and Facial Expression Recognition.- 9 State-Based Recognition of Gesture.- 10 Real-Time American Sign Language Recognition from Video Using Hidden Markov Models.- 11 Recognizing Human Motion Using Parameterized Models of Optical Flow.- 12 Facial Expression Recognition Using Image Motion.- III Lipreading.- 13 Learning Visual Models for Lipreading.- 14 Continuous Automatic Speech Recognition by Lipreading.- 15 Visually Recognizing Speech Using Eigensequences.
Erscheint lt. Verlag | 6.12.2010 |
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Reihe/Serie | Computational Imaging and Vision ; 9 |
Zusatzinfo | XIV, 374 p. |
Verlagsort | Dordrecht |
Sprache | englisch |
Maße | 160 x 240 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Grafik / Design ► Film- / Video-Bearbeitung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
ISBN-10 | 90-481-4870-7 / 9048148707 |
ISBN-13 | 978-90-481-4870-7 / 9789048148707 |
Zustand | Neuware |
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