EXTRACTION OF MOVING-OBJECTS THROUGH GROUPING EDGES ALONG WITH VELOCITY PERPENDICULAR TO EDGES

A network system is proposed for segmenting and extracting multiple moving objects in 2D images. The system uses an interconnected neural network in which grouping factors, such as edge proximity, smoothness of edge orientation, and smoothness of velocity perpendicular to an edge, are embedded. The system groups edges so that the network energy may be minimized, i.e. edges may be organized into perceptually plausible configuration. Experimental results are provided to indicate the performance and noise robustness of the system in extracting objects in synthetic images.