VisiTrack - video based incremental tracking in real time

Abstract

This paper presents VisiTrack, a novel approach for video based incremental tracking in real time. The major objectives in the development of VisiTrack was to design or select algorithms that are well suited for embedded real time computation. We had a special focus on latency reduction and storage minimization since the algorithms should run on mobile devices like PDAs with the appropriate extension, i.e. mainly a camera, in real time. The image analysis, position localization and error minimization of VisiTrack are explained in detail. For the image analysis algorithms of VisiTrack two major principles, linear processing and incremental concurrency, were defined and applied in order to fulfill real time constraints and reduce system latency. In order to meet real time requirements the position localization is based on a linear transformation between 3D world coordinates and 2D image coordinates. Afterwards a real time error minimization based on the Kalman filter is applied successfully. VisiTrack is applied in the Augmented Reality domain and in the field of robotic self localization.