In this paper we discuss how gure-ground segmentation can be important in deriving object properties such as shape. Our approach is based on a conjunction of motion and depth. The main idea is to produce a 2-dimensional histogram with depth in one dimension and horizontal motion in the other. This histogram is then analyzed. The most signiicant peaks in the histogram are backprojected to the image to produce an object mask. This object mask is maintained over time.