A robust vehicle model construction and identification system using local feature alignment

This study aims to construct the vehicle feature model and deal with the vehicle identification problem without depending on the license plate recognition (LPR). The proposed system is applicable for detecting the fare evasion in electronic road pricing system. In the experiments, the completed vehicle model can be successfully built even though the training dataset are suffering the partial occlusion.