Mixture Tracking of Multiple Fingers Image in Omnidirection Camera for Human Friendly Interface

Abstract

Aiming at human friendly user interface using omnidirection camera by holding it with fingers, we propose a method to track fingers in the image using particle filters. Mixture tracking is employed as a particle filtering method since it can track multiple modes of posterior distribution effectively leading to the ability to track multiple fingers in the image. We also propose a sequential labeling technique for clustering the particles in the framework of mixture tracking. This effectively classifies the particles into each finger in the image. Tracking performance has been demonstrated in real images of omnidirection camera.