无人机航拍野生动物智能检测与统计方法综述

Recently, UAV aerial photography technology has been gradually applied to wildlife protection, which has greatly improved the investigation efficiency. Due to the great difference in characteristics between aerial images and ground images, and the complex background of wildlife living environment, there is no general method that can be directly applied to the detection and statistics of UAV aerial wildlife photography. In this paper, firstly, the development of intelligent detection and statistics technology in recent years is reviewed. Then, according to the characteristics of large scene, small target, multi scale and complex background of UAV aerial wildlife photography, the selection and establishment methods of UAV aerial wildlife dataset is introduced, and the detection and statistics methods based on deep learning as well. Finally, the advantages and applicable scenes of these methods are summarized, and the improvement direction is given.