Engineering Commons^™

Counting And Classification Of Highway Vehicles By Regression Analysis, Mingpei Liang, Xinyu Huang, Chung-Hao Chen, Alade Tokuta

Electrical & Computer Engineering Faculty Publications

In this paper, we describe a novel algorithm that counts and classifies highway vehicles based on regression analysis. This algorithm requires no explicit segmentation or tracking of individual vehicles, which is usually an important part of many existing algorithms. Therefore, this algorithm is particularly useful when there are severe occlusions or vehicle resolution is low, in which extracted features are highly unreliable. There are mainly two contributions in our proposed algorithm. First, a warping method is developed to detect the foreground segments that contain unclassified vehicles. The common used modeling and tracking (e.g., Kalman filtering) of individual vehicles are not …