Moving object detection and tracking based on ZYNQ FPGA and ARM SOC

In this paper, an FPGA-based moving object detection and tracking system is introduced for image processing application. The algorithms presented include object detection based on dynamic background difference, kalman filter for object tracking. The target device for the implementation is a Xilinx Zynq-7000 FPGA. The use of ARM dual core processor, NEON vector coprocessor unit and coprocessing IP peripherals generated by vivado HLS aim to improve the data processing ability of the system. In the dynamic background, the system realized accurate detection and tracking of moving objects in real-time.