Field position estimation in soccer videos using convolutional neural network-based image features

This paper presents a novel estimation method of field positions in soccer videos using Convolutional Neural Network (CNN)-based image features. CNN-based features have been well known to be effective for tasks in machine learning. Therefore, the proposed method adopts CNN-based image features. By using these image features, the proposed method enables accurate estimation of soccer field positions than handcrafted features, i.e., Hough transform-based features. We show the effectiveness of our method via experiment results using actual soccer videos.