A High Precision Vehicle Tracking Algorithm Based on Digital Image Correlation

In order to reduce traffic accidents and solve the problems, which refers to inaccurate tracking of the front vehicle and not-in-time collision pre-warning, existed in vision-based collision pre-warning systems, a high-precision vehicle tracking algorithm based on digital image correlation is proposed in this paper. This method is used in the reference subregion, which means the detected vehicle area, to complete subpixel level search and match. Experiments show that this method performs well in long range tracking. The high-accuracy relative speed can be calculated by using the scaling value of tracking frame. Thus, the tracking accuracy and realtime performance can be improved effectively and the dependence on high-resolution lenses can be reduced.