Automatic detection of objects on star sky images by using the convolutional neural network

The automatic detection methods of mobile objects on moving star background in the presence of high-speed image blurring are considered. The approach based on convolutional neural network YOLO v2 for detection and classification of two kinds of objects images is analysed. Estimations of detection accuracy and speed for the approach are based on convolutional neural network of a simplified structure, indicating further prospects for use of such networks.