Using Selective Search and CNN for Counting Motorcycles in Images

In this paper, we propose a method for counting motorcycles from images based on the selective search and deep learning. In the proposed approach, the objects in an image are segmented by the selective searching algorithm and then recognized individually by the Convolutional Neural Network (CNN). Finally, the objects recognized as motorcycles are counted. The experimental results show the proposed method is effective in counting the motorcycles.