Hybrid region and interest points-based active contour for object tracking
Wassima Aitfares, El Houssine Bouyakhf, Ariane Herbulot, Fakhita Regragui, Michel Devy · Applied Mathematical Sciences · 2013
In this paper, we propose a hybrid object tracking approach based on region intensities and the motion vector of the interest points of the target object. After the heterogeneous region is identified (i.e foreground or background), the information extracted from the region intensities is computed through a pre-processing selection technique using local and global statistics. The motion vector of the interest points is obtained by computing the mean displacement of these points between consecutive frames. Therefore, for each received frame, the displacement vector is applied to the initial active contour that will be evolved using the region information. The main advantages of our approach which combines the information gathered from region intensities and motion of the interest points are first, a priori knowledge of the heterogeneous region is not required and second, the initial active contour in each frame is adjusted much closer to the true boundary of the object of interest. Experiments with synthetic and real-world images validate the efficiency of the proposed hybrid approach.