{"title":"A hardware design and implementation for accelerating motion detection using (System On Chip) SOC","authors":"A. Khalil, M. Shalaby, E. Hegazi","doi":"10.1109/ICCES.2017.8275343","DOIUrl":null,"url":null,"abstract":"Motion detection is a key role in video surveillance, as a result of using a high-resolution camera in motion detection which produces a high definition video streaming, it's difficult to process this huge amount of data in real time on a serial processor. System on chip (SOC) addressed this problem by combining FPGA and serial processor on one chip that can be used to develop a complex heterogeneous system. Therefore, we can use the power of FPGA parallel processing technique in accelerating the image processing algorithms. In this paper, we present a hardware design and implementation for accelerating motion detection and optimizing the FPGA resources. The experimental result of this design is presented and detailed.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"488 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCES.2017.8275343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Motion detection is a key role in video surveillance, as a result of using a high-resolution camera in motion detection which produces a high definition video streaming, it's difficult to process this huge amount of data in real time on a serial processor. System on chip (SOC) addressed this problem by combining FPGA and serial processor on one chip that can be used to develop a complex heterogeneous system. Therefore, we can use the power of FPGA parallel processing technique in accelerating the image processing algorithms. In this paper, we present a hardware design and implementation for accelerating motion detection and optimizing the FPGA resources. The experimental result of this design is presented and detailed.