A novel feature extraction method of human‐vehicle classification based on low resolution radar

Abstract

In this paper, a novel method using target movement characteristic is proposed to classify human and vehicle based on low resolution radar system. Many studies have demonstrated the ability of radar micro‐Doppler signature for ground moving targets classification. However, the micro‐Doppler signals are not always observed in practical application. Considering the motion characteristic of human and vehicle, a multi‐frame joint scheme is proposed, in which three suitable features are extracted and the Random Forest classifier is used to identify three kinds of moving targets. The experiment results with satisfied classification accuracy prove that the proposed method is capable of human‐vehicle classification.

Object recognition based on shape interest points descriptor

“…Method: Feature extraction [10][11][12] and representation is very important and crucial for object recognition. Commonly used features include textural features [13], colour features [14], spatial relationship features [15] and shape features.…”