{"title":"Design of Moving Object Detection System Based on FPGA","authors":"Qian Yi","doi":"10.1109/ICCCAS.2018.8769330","DOIUrl":null,"url":null,"abstract":"Aiming at the high requirement of real-time and accuracy in moving object detection, this paper designs a moving object detection system based on FPGA. First, the D5M camera is used to capture video images, and then the image is cached into SDRAM memory. The buffered image is detected by background subtraction method based on GMM, and then the processed image is sent to the image display module for display. Matlab, Xlinx ISE and Modelsim are used to complete the hardware design and Simulation of the algorithm. Experimental results show that the designed system can detect moving targets in real time with high accuracy.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCAS.2018.8769330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Aiming at the high requirement of real-time and accuracy in moving object detection, this paper designs a moving object detection system based on FPGA. First, the D5M camera is used to capture video images, and then the image is cached into SDRAM memory. The buffered image is detected by background subtraction method based on GMM, and then the processed image is sent to the image display module for display. Matlab, Xlinx ISE and Modelsim are used to complete the hardware design and Simulation of the algorithm. Experimental results show that the designed system can detect moving targets in real time with high accuracy.