%0 Journal Article %A YAN Fei %A MA Ke %A LIU Jia %A LIU Yinping %A XIA Jinfeng %T UAV Target Real-Time Adaptive Tracking System %D 2022 %R 10.3778/j.issn.1002-8331.2011-0343 %J Computer Engineering and Applications %P 178-184 %V 58 %N 10 %X As unmanned aerial vehicle(UAV) is widely used in aerial photography, aerial reconnaissance and other related fields, the demand for intelligence of UAV gradually increases. Target tracking has the advantages of large amount of information and high real-time performance, which can provide a lot of real-time external information for the intelligent flight of UAV. The research of UAV target tracking system with low cost and power consumption has far-reaching significance for the acceleration of UAV intelligent process. In order to better solve the problems of target tracking accuracy and real-time performance in the process of tracking such situations as complex background, light change, small target and fast moving speed, this paper proposes an adaptive tracking algorithm based on FPGA. Firstly, the video RGB data stream is converted into gray scale. Secondly, the template data and the pixel gray value of the search area are saved in RAM, and the region with the highest similarity to the template is traversed within the search area. Finally, when the background or light changes, the template is updated to further track the target accurately. Simulation results show that the proposed tracking algorithm has good real-time performance, with tracking overlap rate above 95% and tracking rate above 50 frame/s, with good tracking accuracy and real-time performance. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2011-0343