A New Algorithm of an Improved Detection of Moving Vehicles

摘要

A new algorithm of vehicle detection on improved background difference method is presented in this article. A input image frames with fewer moving targets is choosen as the background initialization frames in the background model initialization phase. A new background or a foreground image of moving vehicles is distinguished based on the results of the difference and the value of threshold setted. Updating of background is associated with changes of actual background using dynamic weighting factor adaptively. Extraction and detection of moving vehicles are completed on the basis of comparing the segmentation threshold determined. It is shown that the improved background difference model proposed here is of a higher precision and efficiency in extraction and detection of moving vehicles by simulation testing.