Study of High Speed Parallel Image Processing Machine

Abstract

As high resolution and large field sensors were used, the real time performance of the target tracking system is more and more important. Single mode algorithm can not track the target stably because of the target changes its characteristics from time to time. In order to solve the two problems above, a multi-processors and parallel high-speed image processing machine was presented. The kernel method for designing the parallel image processing system was analyzed and the optimization technologies for DSP were discussed. The FPGAs were used for detecting targets in whole view of sight and the DSPs were used for target tracking. The machine realized can automatic detect and track targets in real-time. The experimental results indicate that the system can adapt various environments and various targets which have different characteristics.