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| Paper: | MSP-P1.5 |
| Session: | Human Machine Interface; Signal Processing for Media Integration and Application |
| Time: | Friday, May 21, 09:30 - 11:30 |
| Presentation: |
Poster |
| Topic: |
Multimedia Signal Processing: Human-Machine Interface |
| Title: |
A HYBRID HMM/PARTICLE FILTER FRAMEWORK FOR NON-RIGID HAND MOTION RECOGNITION |
| Authors: |
Fei Huang; Oxford University | | |
| Abstract: |
IN SIGN-LANGUAGE OR GESTURE RECOGNITION, ARTICULATED HAND MOTION TRACKING IS USUALLY THE FIRST STEP BEFORE ACHIEVING BEHAVIOUR UNDERSTANDING. HOWEVER THE NON-RIGIDITY OF THE HAND,COMPLEX BACKGROUND SCENES,AND OCCLUSION MAKE TRACKING A CHALLENGING TASK. IN THIS PAPER WE PRESENT A NOVEL HYBRID HMM/PARTICLE FILTER FRAMEWORK FOR SIMULTANEOUSLY TRACKING AND RECOGNITION OF NON-RIGID HAND MOTION.THE NOVEL CONTRIBUTION OF THE PAPER IS THATWE UNIFY THE INDEPENDENT TREATMENTS OF NON-RIGID MOTION AND RIGIDMOTION INTO A SIGNLE ,ROBUST BAYESIAN FRAMEWORK AND DEMONSTRATE THE EFFICACY OF THIS METHOD BY PERFORMING SUCCESSFUL TRACKING IN THE PRESENCE OF SIGNIFICANT OCCLUSION CLUTTER. |
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