{"title":"Motion detection of vehicles based on FPGA","authors":"G. Menezes, A. Silva-Filho","doi":"10.1109/SPL.2010.5483022","DOIUrl":null,"url":null,"abstract":"In this paper a hardware approach for evaluating motion detection of vehicles on transit roads was proposed. A motion detection method is used through computational vision with a fixed camera which is based on the difference between the current image and a reference image of the environment that is being monitored. Results are compared with a software approach in order to validate and show the effectiveness of a hardware approach. Experiments based on real vehicle images in roads were performed and results are 7.5 times faster by using a reconfigurable hardware approach as compared to the same application in a software approach. The results were also compared with another hardware approach for motion detection and a performance improvement of about 66% was observed in the image processing.","PeriodicalId":372692,"journal":{"name":"2010 VI Southern Programmable Logic Conference (SPL)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 VI Southern Programmable Logic Conference (SPL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPL.2010.5483022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
In this paper a hardware approach for evaluating motion detection of vehicles on transit roads was proposed. A motion detection method is used through computational vision with a fixed camera which is based on the difference between the current image and a reference image of the environment that is being monitored. Results are compared with a software approach in order to validate and show the effectiveness of a hardware approach. Experiments based on real vehicle images in roads were performed and results are 7.5 times faster by using a reconfigurable hardware approach as compared to the same application in a software approach. The results were also compared with another hardware approach for motion detection and a performance improvement of about 66% was observed in the image processing.