Object Detection Using Radar

Radio Detection and Ranging (RADAR) has proven to be an effective tool for urban sensing and through-wall imaging. Nowaday's detecting object in the border region continuously is difficult. RADAR techniques are used to detect the objects in the border region with the combination of thermal radar and ultra sound radar. This project proposes the method to identify and differentiate the objects using digital image processing. The proposed work presents the sharpening filter is used to remove the noise. Texture based segmentation is used to detect the shape of the object and HOG algorithm is used to extracts the feature based on the intensity variation in the image.