Aerial tracking, which has exhibited its omnipresent dedication and splendid performance, is one of the most active applications in the remote sensing field. Especially, unmanned aerial vehicle (UAV)-based remote sensing system, equipped with a visual tracking approach, has been widely used in aviation, navigation, agriculture,transportation, and public security, etc. As is mentioned above, the UAV-based aerial tracking platform has been gradually developed from research to practical application stage, reaching one of the main aerial remote sensing technologies in the future. However, due to the real-world onerous situations, e.g., harsh external challenges, the vibration of the UAV mechanical structure (especially under strong wind conditions), the maneuvering flight in complex environment, and the limited computation resources onboard, accuracy, robustness, and high efficiency are all crucial for the onboard tracking methods. Recently, the discriminative correlation filter (DCF)-based trackers have stood out for their high computational efficiency and appealing robustness on a single CPU, and have flourished in the UAV visual tracking community. In this work, the basic framework of the DCF-based trackers is firstly generalized, based on which, 23 state-of-the-art DCF-based trackers are orderly summarized according to their innovations for solving various issues. Besides, exhaustive and quantitative experiments have been extended on various prevailing UAV tracking benchmarks, i.e., UAV123, UAV123@10fps, UAV20L, UAVDT, DTB70, and VisDrone2019-SOT, which contain 371,903 frames in total. The experiments show the performance, verify the feasibility, and demonstrate the current challenges of DCF-based trackers onboard UAV tracking.

翻译：如上文所述,基于UAV的空中跟踪平台已经逐渐从研究阶段发展到实际应用阶段,达到了未来主要的空中遥感技术之一,然而,由于真实世界的复杂情况之一,例如严峻的外部挑战、基于UAV的机械结构的振动(特别是在强风条件下)、在复杂环境中的操纵飞行以及机载跟踪方法、准确性、稳健性、高效性等,无人驾驶航空器的遥感系统已被广泛用于航空、导航、农业、运输、公共安全等。如上所述,基于UAV的空中跟踪平台已经逐渐从研究阶段发展到实际应用阶段,达到了未来主要的空中遥感技术之一。然而,由于真实世界的复杂情况,如:如:严重外部挑战、基于UAVAV机械结构的振动(特别是在强风条件下)、在复杂环境中的无人驾驶飞行器飞行以及机上有限的计算资源、准确性、稳健、高效性等,对于机载跟踪方法都至关重要。最近,基于歧视性的互动过滤器(DCF)的跟踪器在单一的CUPUU20轨道上出现了强力,并且在UAVO的视觉跟踪社区中也繁荣。在这个工作中,基于DF90的轨道的基本框架框架的基本框架和直径对地、直径定位的轨道进行了总结,在23的轨道上显示。