Abstract: The proposed system for detecting and monitoring multiple vehicles is based on a color backdrop for moving objects, which utilizes associations between moving subjects and current tracking trajectories. In the beginning, grouping extracts the history. Then, prior traveling artifacts are regularly updated to ensure stable separation under the situation of luminance shifts. In the case of some misconvergence because of roadside parking cars, a test on input trajectories will be remedied later in an attempt to avoid erroneous identification as automobiles move away. The distance or distance and angle relation is used for the tracking phase to decide whether a direction should be formed, expanded or removed. When occlusion is observed after development of a route, the rule-based monitoring logic should overcome it. Lane details will be used otherwise. In addition, a queue identification and resolution technique shall be used when monitoring before further resolution occlusion has occurred in the road. Finally, automation parameters for the device are suggested for easy setup.