Traffic flow detection method based on fusion of frames differencing and background differencing

Abstract

Study optimization of traffic flow accuracy detection problem. For moving targets' speed and external environment are the main factors of influencing traffic flow detection. It is easy to cause undetection and misjudgment of traffic flow detection. In order to overcome traditional frame differencing method and background differencing's inadequation when using singlely, an intelligent traffic detection method based on fusion of the frame differencing method and background differencing method is proposed by existing algorithm in this passage. This method firstly use frame differencing method priorityly, background differencing method complementary. Then use an iteration threshold segmentation method to filter out the noise and the background image is updated real-time. Completed multi-lanes traffic detection, got many groups of data and calculated accuracy. The simulation experiment shows that this method can improve the accuracy of detection effectively, it is simple and feasible.