Electronic Science and Technology ›› 2020, Vol. 33 ›› Issue (5): 82-86.doi: 10.16180/j.cnki.issn1007-7820.2020.05.014

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Design of Moving Target Detection System Based on ZYNQ

WANG Chunjiang1,LI Peng2   

  1. 1. China Air-borne Missile Academy,Luoyang 471000,China
    2. School of Artificial Antelligence,Xidian University,Xi’an 170071,China
  • Received:2019-06-16 Online:2020-05-15 Published:2020-06-02
  • Supported by:
    National Natural Science Foundation of China(61372071)

Abstract: Aim

ing at the problems of large size and high power consumption of the current moving target detection system platform, this paper designed a moving target detection system based on the Xilinx ZYNQ platform. ViBe algorithm was a foreground detection algorithm, which mainly included three parts: background modeling, foreground detection, and model update. It had better detection effect. The Vivado HLS development tool was used to complete the development of the algorithm part. The algorithm was optimized by adding optimization instructions. After passing the simulation test, it was packaged into a hardware IP core, which greatly shortened the development process. On the ZYNQ platform, the software and hardware cooperation method was adopted, the PL part was used as the algorithm implementation unit, the PS part was used as the control core, and the video image was collected through the OV5640. The data was stored in the DDR using the VDMA IP core, and the result was processed Output to the display via HDMI. Experimental results showed that the system could detect moving targets in real time, and the system was small in size and low in power consumption.

Key words: moving target detection, ZYNQ, ViBe algorithm, foreground detection, Vivado HLS, optimization, software and hardware collaboration, VDMA

CLC Number: 

  • TN919.5