RECOGNITION AND TRACKING OF MULTIPLE VEHICLES FROM COMPLEX IMAGE SEQUENCES
Carlo S. Regazzoni · CINECA IRIS Institutial Research Information System (University of Genoa) · 1997
In this paper, synergies between the recognition and tracking process for autonomous driving are studied. Object recognition is periodically performed to focus attention on specific parts of the visual signal and to assign them symbolic meanings. Tracking is used to maintain correspondences between objects identified at successive recognition instants, as well as to provide further features (eg image space temporal trajectories) on which to base object-pose estimation. Results obtained by using road image sequences are reported, which demonstrate the validity of the approach in terms of robustness, accuracy, and time responses. (A) For the covering abstract see IRRD 887751.