Proposing a fast circular HOG descriptor for detecting rotated objects

Object detection is one of the most interesting branches in computer vision. Accurate detection systems can be utilized to various areas. There are two steps in detection, feature extraction and classification. In this paper, new feature extraction method is proposed. Histogram Oriented Gradient (HOG) is famous, fast and accurate feature, but it is not rotation invariant. This paper proposes a new shape of HOG for fast detection of rotated objects. The proposed method is faster than conventional method in rotational object detection.