Integrating a statistical background-foreground extraction algorithm and SVM classifier for pedestrian detection and tracking

Abstract

A Support Vector Machine (SVM) is an effective method for pedestrian detection applications; however, performance of an SVM is closely related to the samples that are used to train it. An SVM classifier trained by samples from well-known pedestrian d