An analogic CNN-algorithm of pixel level snakes for tracking and surveillance tasks
D.L. Vilariño, D. Cabello, V.M. Brea · 2003
This paper addresses the application of the pixel level snakes for the segmentation of moving objects. This kind of active contour techniques can handle multiple contours simultaneously without time-processing penalty as well as to manage appropriately the topologic transformations among them when this is required. The implementation into a CNNUM or a specific purpose CNN platform gives solution to the speed requirements of this kind of tasks. Particularly, we show an analogic CNN-algorithm which meets all the constrains imposed for the current CNNUM hardware implementations.