In the field of radar imagery，the moving target detection task has been receiving a lot of attention. In recent years，with the development of electronic technology and radar technology，Video Synthetic Aperture Radar (Video-SAR) technology brings SAR image data with higher frame rate.At the same time，the excellent performance of deep learning in the target detection task also makes many scholars apply it to the Video SAR moving target detection task.The Video-SAR moving target detection techniques have begun to shift from the traditional Ground Moving Target Indication (GMTI) approach to the deep learning approach.However，deep learning-based Video-SAR moving target detection methods are still in the research stage，and there are no review articles on the Video-SAR moving target detection task. Therefore，this paper analyses and organizes the existing methods at home and abroad on the basis of moving target detection methods，summarizes the unsolved problems and difficulties faced by the Video-SAR moving target detection task in combination with the existing research，and puts forward research suggestions for its future development based on the development of existing technologies.