The Method of Infrared Point Target Detection and Tracking Based on DSP+FPGA

Abstract

Accounting for the problems of dynamic infrared point targets are difficult to detect accurately and to track in complex background, the single-frame image background suppression by the high-pass filtering and binary processing. Then it uses unscented Kalman filter (UKF) method to get the predicted target trajectory and achieves a precise target tracking. According to the proposed detection and tracking algorithm of motion infrared point target, this paper designs and implements a system of high speed real-time image processing platform based on DSP+FPGA structure. Test results show that when the target is in the interference condition, tracking can still be stabilized, its processing time is about 9.2ms per frame to meet real-time requirements.

Real-time processing system for cavity ring down signal based on ZYNQ chip

“…The traditional measurement system consists of a DAC(Data Acquisition Card) and a computer which obviously has the disadvantages of large size, complex operation, and poor scalability. To solve the problems mentioned above, the microprocessor ARM (Advanced RISC Machine) or DSP (Digital Signal Processor) is used as a upper computer to realize data fitting , and the FPGA is used as a lower computer for A/D(Analog to Digital) conversion and data acquisition [20,21,22,23,24]. However, the ARM\DSP system has two problems limiting higher sampling rate and faster transmission speed in process of CRD signal.…”