| 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. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops