Automatic localization and tracking of moving objects using adaptive snake algorithm

In this paper, we propose an algorithm for automatic localization and tracking of moving objects using adaptive snake model. The proposed algorithm is composed of three main steps. In the first step, moving objects are automatically localized by using global motion estimation/compensation and difference image. In the second step, an adaptive snake algorithm is proposed in order to extract the exact object shape. The snake energy function adaptively changes according to the perpendicular minimum distance. In the final step, the object tracking is performed by using the initial template and the motion vectors. Experimental results show that the proposed algorithm can automatically extract multiple moving objects without any user-assisted initialization. It can also segment and track the objects more accurately than other existing algorithms.