Vehicle Detection Using Fuzzy Twin Support Vector Machine

抄録

The support vector machine is a classifier which is based on the statistical training theory. The twin support vector machine is a kind of binary classifier that determines two nonparallel planes by solving two related SVM-type problems. This paper proposes the TWSVM which is applied fuzzy membership called fuzzy TWSVM. We compare the performance of TWSVM and fuzzy TWSVM. In addition, we propose the vision based vehicle detection system using fuzzy TWSVM.