Lecture-15.ppt - Hand Gesture Recognition, Aerobic...

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Hand Gesture Recognition, Aerobic exercises, Events Lecture-15 Hand Gesture Recognition
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Seven Gestures Gesture Phases • Hand fixed in the start position . • Fingers or hand move smoothly to gesture position . • Hand fixed in gesture position . • Fingers or hand return smoothly to start position.
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Finite State Machine Main Steps • Detect fingertips. • Create fingertip trajectories using motion correspondence of fingertip points. • Fit vectors and assign motion code to unknown gesture. • Match
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Detecting Fingertips Vector Extraction
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Vector Representation of Gestures Results
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Action Recognition Using Temporal Templates Jim Davis and Aaron Bobick Main Points • Compute a sequence of difference pictures from a sequence of images. • Compute Motion Energy Images (MEI) and Motion History Images (MHI) from difference pictures. • Compute Hu moments of MEI and MHI. • Perform recognition using Hu moments.
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MEI and MHI ) , , ( ) , , ( 1 0 i t y x D t y x E i = = τ U = = otherwise t y x H t y x D if t y x H ) 1 ) 1 , , ( , 0 max( 1 ) , , ( ) , , ( Motion-Energy Images (MEI ) Motion History Images (MHI) Change Detected Images MEIs
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Color MHI Demo Summary • Use seven Hu moments of MHI and MEI to recognize different exercises. • Use seven views (-90 degrees to +90 degrees in increments of 30 degrees). • For each exercise several samples are recorded using all seven views, and the mean and covariance matrices for the seven moments are computed as a model.
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This note was uploaded on 06/12/2011 for the course CAP 6411 taught by Professor Shah during the Spring '09 term at University of Central Florida.

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Lecture-15.ppt - Hand Gesture Recognition, Aerobic...

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