L. Schwarz, H. Gamba, Fabio Cabral Pacheco, M. A. Sovierzoski
{"title":"使用 FPGA 进行硬件瞳孔检测","authors":"L. Schwarz, H. Gamba, Fabio Cabral Pacheco, M. A. Sovierzoski","doi":"10.1109/HealthCom.2012.6379437","DOIUrl":null,"url":null,"abstract":"This paper describes the design of a hardware based system to locate and measure the pupil size using FPGA. The system was implemented in a Cyclone 4E EP4CE115F29C7, from Altera. The component has 114,480 logic elements, although only 8% of the component was used. To detect the pupil the system uses the Greedy Snakes Algorithm at 50 MHz input clock. The system was tested on a video with 30 fps, however, it is possible to process videos in real-time up to 60 fps.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pupil detection in hardware using FPGA\",\"authors\":\"L. Schwarz, H. Gamba, Fabio Cabral Pacheco, M. A. Sovierzoski\",\"doi\":\"10.1109/HealthCom.2012.6379437\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the design of a hardware based system to locate and measure the pupil size using FPGA. The system was implemented in a Cyclone 4E EP4CE115F29C7, from Altera. The component has 114,480 logic elements, although only 8% of the component was used. To detect the pupil the system uses the Greedy Snakes Algorithm at 50 MHz input clock. The system was tested on a video with 30 fps, however, it is possible to process videos in real-time up to 60 fps.\",\"PeriodicalId\":138952,\"journal\":{\"name\":\"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"volume\":\"135 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HealthCom.2012.6379437\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2012.6379437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文介绍了利用 FPGA 定位和测量瞳孔大小的硬件系统设计。该系统由 Altera 公司的 Cyclone 4E EP4CE115F29C7 实现。该组件有 114,480 个逻辑元件，但只使用了其中的 8%。为了检测瞳孔，系统使用了 50 MHz 输入时钟的贪婪之蛇算法。该系统在 30 帧/秒的视频上进行了测试，但也可以实时处理高达 60 帧/秒的视频。
This paper describes the design of a hardware based system to locate and measure the pupil size using FPGA. The system was implemented in a Cyclone 4E EP4CE115F29C7, from Altera. The component has 114,480 logic elements, although only 8% of the component was used. To detect the pupil the system uses the Greedy Snakes Algorithm at 50 MHz input clock. The system was tested on a video with 30 fps, however, it is possible to process videos in real-time up to 60 fps.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
