Features fusion with adaptive weights for pedestrian classification

Abstract

In this paper, we study the problem of pedestrian classification, which could lead to an improvement of per formance of the Pedestrian Detection Systems. Since the traditional approaches merely focus on the recognition of pe destrian, the device would keep alerting the drivers even if the pedestrians are walking on a safe track. We attempt to classify pedestrians in order to make those devices, equipped in the cars, more intelligent and pragmatic. We propose a method to extract features including HOGs (Histog…