J. Romero, Damien Verdier, Clement Raffaitin, L. Prócel, L. Trojman
{"title":"运动估计算法的简单硬件实现","authors":"J. Romero, Damien Verdier, Clement Raffaitin, L. Prócel, L. Trojman","doi":"10.18272/aci.v11i3.1352","DOIUrl":null,"url":null,"abstract":"We present in the following work a hardware implementation of the two principal optical flow methods. The work is based on the methods developed by Lucas & Kanade, and Horn & Schunck. The implementation is made by using a field programmable gate array and Hardware Description Language. To achieve a successful implementation, the algorithms were optimized. The results show the optical flow as a vector field over one frame, which enable an easy detection of the movement. The results are compared to a software implementation to insure the success of the method. The implementation is a fast implementation capable of quickly overcoming a traditional implementation in software.","PeriodicalId":42541,"journal":{"name":"Avances en Ciencias e Ingenieria","volume":"4 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simple Hardware Implementation of Motion Estimation Algorithms\",\"authors\":\"J. Romero, Damien Verdier, Clement Raffaitin, L. Prócel, L. Trojman\",\"doi\":\"10.18272/aci.v11i3.1352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present in the following work a hardware implementation of the two principal optical flow methods. The work is based on the methods developed by Lucas & Kanade, and Horn & Schunck. The implementation is made by using a field programmable gate array and Hardware Description Language. To achieve a successful implementation, the algorithms were optimized. The results show the optical flow as a vector field over one frame, which enable an easy detection of the movement. The results are compared to a software implementation to insure the success of the method. The implementation is a fast implementation capable of quickly overcoming a traditional implementation in software.\",\"PeriodicalId\":42541,\"journal\":{\"name\":\"Avances en Ciencias e Ingenieria\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2019-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Avances en Ciencias e Ingenieria\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18272/aci.v11i3.1352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Avances en Ciencias e Ingenieria","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18272/aci.v11i3.1352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simple Hardware Implementation of Motion Estimation Algorithms
We present in the following work a hardware implementation of the two principal optical flow methods. The work is based on the methods developed by Lucas & Kanade, and Horn & Schunck. The implementation is made by using a field programmable gate array and Hardware Description Language. To achieve a successful implementation, the algorithms were optimized. The results show the optical flow as a vector field over one frame, which enable an easy detection of the movement. The results are compared to a software implementation to insure the success of the method. The implementation is a fast implementation capable of quickly overcoming a traditional implementation in software.