Research and Implementation of Parallel Detection and Tracking Algorithm Based on Embedded Processor

The traditional combination of navigation methods has been unable to meet all the needs of people in practical applic ations, and more and more researchers have put the research dir ection to computer vision, and the vision-based navigation metho ds have become a research hotspot, which can cover the anti-jam ming return of cluster UAVs, autonomous landing of UAVs and o ther application needs. Among them, the visual tracking technolo gy is of great significance for the navigation and landing of UAVs. In this paper, the research on parallel detection and tracking alg orithms is carried out on the airborne integrated control processi ng board composed of TMS320C6678 processor and Xilinx’s XC ZU7EV-2FFVC1156I MPSOC processor, and a parallel detection and tracking mechanism based on KCF is proposed, which solve s the scale problem of the KCF tracking algorithm; and its algorit hms are deployed in the aforementioned The algorithm is deploye d on the above mentioned airborne integrated control processing board and real-time optimization is carried out to achieve stable t racking of the target.