A Method to Classify the Vehicles in Crossing Based on a Multi-class Support Vector Machine and the Acquirement of Flowing Parameter
一种基于支持矢量机的交叉路口车型分类方法及流量参数的提取

To classify correctly the runing vehicles in the crossing is the basis of traffic flow statistics,traffic situation analysis,and accident analysis.Based on the detection for running objects and the calibration for representation,we draw into the multi-support vector machine and propose a method to classify the vehicles in crossing,which needs several features and can overcome "wrong-classification".The test shows that the method has high accuracy and can meet the requirements to classify the vehicles at cross-roads.Furthermore,based on the former study,we also offer a method to obtain"flowing speed" and provide a basis for the traffic management.