Object Classification Based on Contourlet Transform in Outdoor Environment

Abstract. Classification of objects is an important task in computer vision. In the case that the objects are occlusion or outdoor environment, classification of objects is a challenging problem. The primary goal of this paper is to classify the object into two classes: human and car in an outdoor environment. In order to detect object classification, most of existing methods separated detecting ob-ject region from pre-defined background model. Here, we propose a method to implement classification of human and car in outdoor environment using contourlet transform combined with support vector machine as a classifier for classification of objects. The proposed method tested on standard dataset like PEST2001 dataset. For demonstrating the superiority of the proposed method, we have compared the results with the other recent methods available in litera-ture