{"title":"实时可扩展Lucas-Kanade光流的VLSI设计","authors":"Han-Soo Seong, Hyuk-Jae Lee","doi":"10.1109/ELINFOCOM.2014.6914396","DOIUrl":null,"url":null,"abstract":"Optical flow estimates an approximated motion of objects, edges or corners. In this paper, a simple realtime Lucas-Kanade optical flow hardware implementation for smart devices is proposed. Comparing to previous works, the proposed implementation requires a less amount of line memories, multipliers and bandwidth while achieving a less computation error and an improved real time throughput.","PeriodicalId":360207,"journal":{"name":"2014 International Conference on Electronics, Information and Communications (ICEIC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A VLSI design of real-time and scalable Lucas-Kanade optical flow\",\"authors\":\"Han-Soo Seong, Hyuk-Jae Lee\",\"doi\":\"10.1109/ELINFOCOM.2014.6914396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optical flow estimates an approximated motion of objects, edges or corners. In this paper, a simple realtime Lucas-Kanade optical flow hardware implementation for smart devices is proposed. Comparing to previous works, the proposed implementation requires a less amount of line memories, multipliers and bandwidth while achieving a less computation error and an improved real time throughput.\",\"PeriodicalId\":360207,\"journal\":{\"name\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELINFOCOM.2014.6914396\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Electronics, Information and Communications (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINFOCOM.2014.6914396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A VLSI design of real-time and scalable Lucas-Kanade optical flow
Optical flow estimates an approximated motion of objects, edges or corners. In this paper, a simple realtime Lucas-Kanade optical flow hardware implementation for smart devices is proposed. Comparing to previous works, the proposed implementation requires a less amount of line memories, multipliers and bandwidth while achieving a less computation error and an improved real time throughput.