Survey of Rotating Object Detection Research in Computer Vision

Traditional object detector locates objects by horizontal bounding box（HBB）,which often have low accuracy and poor generalization ability when detecting objects with arbitrary orientation angle, dense distribution, large aspect ratio and complex background.The above problems can be effectively solved by adding rotating target boxes with different rotation angles in the bounding boxes.This method is widely used in the fields of remote sensing images, scene text images, shelf goods images and other target detection, and has important research value.Most of the current works aim at constructing different models for rotating object detection, and there are fewer review works for summarizing and analyzing existing models in depth.Therefore, this paper provides a detailed review of existing research results on rotating object detection.Firstly, according to the current popular way of target box characterization, the target boxes are classified into three types of oriented bounding box（OBB）,quadrilateral bounding bo