{"title":"基于树莓派系统的嵌入式目标检测系统","authors":"B. Gamal, A. Ouda, Y. Elhalwagy, G. Elnashar","doi":"10.1109/ICENCO.2016.7856461","DOIUrl":null,"url":null,"abstract":"This paper describes implementation of target detecting and tracking system, which can extract required information from images without need for an external processing unit and track the target, based on embedded system. The requirements of image capturing, target detection, allocate target position, and implementing based on raspberry pi system as embedded system on chip kit. Real time tracking is achieved using simple and fast color detection procedures based on frame differencing and camera motion compensation for estimate the motion vectors to control the pan tilt DC motors, which drive the camera to track the moving target in real-time.","PeriodicalId":332360,"journal":{"name":"2016 12th International Computer Engineering Conference (ICENCO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Embedded target detection system based on raspberry pi system\",\"authors\":\"B. Gamal, A. Ouda, Y. Elhalwagy, G. Elnashar\",\"doi\":\"10.1109/ICENCO.2016.7856461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes implementation of target detecting and tracking system, which can extract required information from images without need for an external processing unit and track the target, based on embedded system. The requirements of image capturing, target detection, allocate target position, and implementing based on raspberry pi system as embedded system on chip kit. Real time tracking is achieved using simple and fast color detection procedures based on frame differencing and camera motion compensation for estimate the motion vectors to control the pan tilt DC motors, which drive the camera to track the moving target in real-time.\",\"PeriodicalId\":332360,\"journal\":{\"name\":\"2016 12th International Computer Engineering Conference (ICENCO)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 12th International Computer Engineering Conference (ICENCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICENCO.2016.7856461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Computer Engineering Conference (ICENCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICENCO.2016.7856461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Embedded target detection system based on raspberry pi system
This paper describes implementation of target detecting and tracking system, which can extract required information from images without need for an external processing unit and track the target, based on embedded system. The requirements of image capturing, target detection, allocate target position, and implementing based on raspberry pi system as embedded system on chip kit. Real time tracking is achieved using simple and fast color detection procedures based on frame differencing and camera motion compensation for estimate the motion vectors to control the pan tilt DC motors, which drive the camera to track the moving target in real-time.
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