Tracking of moving object using deformable template

Abstract

A method to track a moving object that has a continuous shape deformations is described in this paper. Moreover this method aims to also obtain information about the shape deformations. This method uses template matching, where the template is deformed. The deformation of the template and matching process are performed using a genetic algorithm. Our conventional method does not have a good search efficiency. Therefore, a new method, which distinguishes between an object function and fitness function, is proposed in this paper. Comparisons between our conventional method and the new method are also simulated. As an object for this simulation, a lips region during speech is used. From results of this simulation, it comes to light that the proposed method is more better than the conventional one in tracking accuracy and speed.