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Preface. 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 Deformable 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 Models of Optical Flow. 12. Facial Expression Recognition Using Image Motion. III: Lipreading. 13. Learning Visual Models for Lip Reading. 14. Continuous Automatic Speech Recognition by Lipreading. 15. Visually Recognizing Speech Using Eigensequences.
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Add 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 long, Motion-Based Recognition to the inventory that you are selling on WonderClubX
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Add 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 long, Motion-Based Recognition to your collection on WonderClub |