# Lecture-19 - Lecture-19 Hand Gesture Recognition 1 Seven...

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1 Lecture-19 Hand Gesture Recognition

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2 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.
3 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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4 Detecting Fingertips Vector Extraction
5 Vector Representation of Gestures Results

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6 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.
7 MEI and MHI ) , , ( ) , , ( 1 0 i t y x D t y x E i - = - = t t U - - = = otherwise t y x H t y x D if t y x H ) 1 ) 1 , , ( , 0 max( 1 ) , , ( ) , , ( t t t Motion-Energy Images (MEI ) Motion History Images (MHI) Change Detected Images MEIs

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8 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
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Lecture-19 - Lecture-19 Hand Gesture Recognition 1 Seven...

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