Fig. 3From: Object contour tracking via adaptive data-driven kernelTracking mechanism of the proposed method. Employing pedestrian sequence as an example, a and b show the initial curve obtained from previous frame where we admit 15 pixels extension for the new kernel adaptation. c The corresponding candidate samples weights. Then, we include the active contour model into this sample space (d) to separate them into two classes (foreground/background) and obtain the adaptive kernel that maximizes the appearance similarity (e). g The level set function of the contour and f, h the corresponding kernel which is used within the mean shift framework for deforming object tracking tasks (i)Back to article page