基于Eye-RIS焦平面处理器系统的仿生若隐若现目标检测算法

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI:10.1109/CNNA.2010.5430290

T. Fulop, Á. Zarándy

{"title":"基于Eye-RIS焦平面处理器系统的仿生若隐若现目标检测算法","authors":"T. Fulop, Á. Zarándy","doi":"10.1109/CNNA.2010.5430290","DOIUrl":null,"url":null,"abstract":"Bio-inspired approaching object detection algorithms have been proposed since Shea, Rowell and Williams found the approaching object detection retinal circuitry of Locusta Migratoria in 1974. Recently, Botond Roska's group identified a looming sensitive circuit in mammalian retina. The newly discovered retina circuit is based on local interaction, therefore, this new discovery enables the development of efficient looming object detection algorithms for topographic kiloprocessor chips. This paper presents the bases of the new model and shows the implementation on Eye-RIS sensor-processor device.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system\",\"authors\":\"T. Fulop, Á. Zarándy\",\"doi\":\"10.1109/CNNA.2010.5430290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bio-inspired approaching object detection algorithms have been proposed since Shea, Rowell and Williams found the approaching object detection retinal circuitry of Locusta Migratoria in 1974. Recently, Botond Roska's group identified a looming sensitive circuit in mammalian retina. The newly discovered retina circuit is based on local interaction, therefore, this new discovery enables the development of efficient looming object detection algorithms for topographic kiloprocessor chips. This paper presents the bases of the new model and shows the implementation on Eye-RIS sensor-processor device.\",\"PeriodicalId\":336891,\"journal\":{\"name\":\"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2010.5430290\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2010.5430290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

自1974年Shea, Rowell和Williams发现Locusta Migratoria的接近目标检测视网膜电路以来，生物启发的接近目标检测算法已经被提出。最近，Botond Roska的研究小组在哺乳动物的视网膜上发现了一个隐现的敏感回路。新发现的视网膜电路是基于局部相互作用，因此，这一新发现使地形千处理器芯片的高效隐现目标检测算法的发展成为可能。本文介绍了新模型的基础，并给出了在Eye-RIS传感器处理器上的实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system

Bio-inspired approaching object detection algorithms have been proposed since Shea, Rowell and Williams found the approaching object detection retinal circuitry of Locusta Migratoria in 1974. Recently, Botond Roska's group identified a looming sensitive circuit in mammalian retina. The newly discovered retina circuit is based on local interaction, therefore, this new discovery enables the development of efficient looming object detection algorithms for topographic kiloprocessor chips. This paper presents the bases of the new model and shows the implementation on Eye-RIS sensor-processor device.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)

自引率

0.00%

发文量