Football Match Scene Text Detection Based on Convolutional Neural Network

Abstract

With the development of deep learning, text detection based on neural network has gained more in-depth research and more extensive application. Considering the characteristics of the text in the football match scene, a novel neural network architecture is proposed based on the TextBoxes. The proposed algorithm performs well in the task of text detection in the football maes which fit the text boxes in football match scene. In order to solve the sample imbalance problem that interference model optimization, we propose Focal Loss as a loss function for classification. Finally, the Non-maximal suppression is applied to eliminate redundant bounding boxes and aggregate outputs. We make a dataset for training, and verify the effectiveness of the algorithm.