{"title":"综合视觉系统:目标检测与定位","authors":"R. Reyna, D. Esteve, D. Martinez","doi":"10.1109/MMICA.1999.833613","DOIUrl":null,"url":null,"abstract":"Several industrial and research activities are demanding more robust and efficient image processing systems. Whether they are discrete systems exploiting the capacities of the latest processors and algorithms in the market, or whether they are integrated systems exploiting the advancements in technology: compactness, low power and speed. This paper describes a real-time vision integrated system for object recognition, based in an APS CMOS matrix. The aim of this work is to demonstrate that we can take some decisions on the fly of the reading process in order to locate and identify objects within the entire image matrix. A neural network circuit will implement the decision subsystem.","PeriodicalId":221297,"journal":{"name":"Proceedings of the Third International Workshop on Design of Mixed-Mode Integrated Circuits and Applications (Cat. No.99EX303)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An integrated vision system: object detection and localization\",\"authors\":\"R. Reyna, D. Esteve, D. Martinez\",\"doi\":\"10.1109/MMICA.1999.833613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several industrial and research activities are demanding more robust and efficient image processing systems. Whether they are discrete systems exploiting the capacities of the latest processors and algorithms in the market, or whether they are integrated systems exploiting the advancements in technology: compactness, low power and speed. This paper describes a real-time vision integrated system for object recognition, based in an APS CMOS matrix. The aim of this work is to demonstrate that we can take some decisions on the fly of the reading process in order to locate and identify objects within the entire image matrix. A neural network circuit will implement the decision subsystem.\",\"PeriodicalId\":221297,\"journal\":{\"name\":\"Proceedings of the Third International Workshop on Design of Mixed-Mode Integrated Circuits and Applications (Cat. No.99EX303)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third International Workshop on Design of Mixed-Mode Integrated Circuits and Applications (Cat. No.99EX303)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMICA.1999.833613\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third International Workshop on Design of Mixed-Mode Integrated Circuits and Applications (Cat. No.99EX303)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMICA.1999.833613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An integrated vision system: object detection and localization
Several industrial and research activities are demanding more robust and efficient image processing systems. Whether they are discrete systems exploiting the capacities of the latest processors and algorithms in the market, or whether they are integrated systems exploiting the advancements in technology: compactness, low power and speed. This paper describes a real-time vision integrated system for object recognition, based in an APS CMOS matrix. The aim of this work is to demonstrate that we can take some decisions on the fly of the reading process in order to locate and identify objects within the entire image matrix. A neural network circuit will implement the decision subsystem.