Visual tracking by using kalman gradient vector flow (kgvf) snakes

Abstract

In this paper, we propose a new tracking model called Kalman Gradient Vector Flow (KGVF) snakes. KGVF snakes employ the Gradient Vector Flow (GVF) model [9] with the Kalman Filter [4] for object tracking. GVF model is an active contour model that used gradient vector flow field as the external force. This force ensures a larger capture range in the model and stronger ability to contract to the object boundary. Kaiman Filter is an estimation algorithm that can be used in stochastic environment. In this paper, we explain how KGVF snakes works and also we have done some experiments to show how KGVF snakes have a strong tracking ability in clutter scenes. © Springer-Verlag 2004.