Multi-core Video Analytics Engine (MVE) for security and surveillance applications

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-02-01 DOI:10.1109/CNNA.2010.5430331

C. Rekeczky, Á. Zarándy, P. Foldesy

{"title":"Multi-core Video Analytics Engine (MVE) for security and surveillance applications","authors":"C. Rekeczky, Á. Zarándy, P. Foldesy","doi":"10.1109/CNNA.2010.5430331","DOIUrl":null,"url":null,"abstract":"The Multi-core Video Analytics Engine (MVE¿) is an easily configurable, compact, high-performance processing architecture that can be used to implement complete video analytics solutions in a single FPGA embedded in intelligent surveillance cameras. With the steadily growing demand for increased processing power at lower costs for video analytics systems, especially intelligent cameras with embedded Digital Signal Processors (DSPs), traditional -software-only approaches are breaking down under the heavy burden of sheer computational complexity. MVE addresses this problem right at the heart, combining an inherently parallel multi-core processing architecture with embedded complex video analytics algorithms in a configurable SoC (System-on-Chip) solution. This initial commercial implementation of MVE is on the Xilinx Spartan-3A DSP 3400A FPGA chip. MVE is based on Eutecus' Cellular Multi-core Video Analytics (C-MVA¿) processor - containing specialized image processing IP cores - which has been developed based on substantial research into cellular architectures that mimics the processing found in human vision. The performance of the MVE¿ will be demonstrated in both indoor and outdoor security and surveillance applications.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"45 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","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.2010.5430331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

The Multi-core Video Analytics Engine (MVE¿) is an easily configurable, compact, high-performance processing architecture that can be used to implement complete video analytics solutions in a single FPGA embedded in intelligent surveillance cameras. With the steadily growing demand for increased processing power at lower costs for video analytics systems, especially intelligent cameras with embedded Digital Signal Processors (DSPs), traditional -software-only approaches are breaking down under the heavy burden of sheer computational complexity. MVE addresses this problem right at the heart, combining an inherently parallel multi-core processing architecture with embedded complex video analytics algorithms in a configurable SoC (System-on-Chip) solution. This initial commercial implementation of MVE is on the Xilinx Spartan-3A DSP 3400A FPGA chip. MVE is based on Eutecus' Cellular Multi-core Video Analytics (C-MVA¿) processor - containing specialized image processing IP cores - which has been developed based on substantial research into cellular architectures that mimics the processing found in human vision. The performance of the MVE¿ will be demonstrated in both indoor and outdoor security and surveillance applications.

查看原文本刊更多论文

用于安全和监控应用的多核视频分析引擎(MVE)

多核视频分析引擎(MVE¿)是一种易于配置、紧凑、高性能的处理架构，可用于在嵌入智能监控摄像机的单个FPGA中实现完整的视频分析解决方案。随着视频分析系统，特别是嵌入式数字信号处理器(dsp)的智能摄像机对低成本高处理能力的需求稳步增长，传统的纯软件方法在计算复杂性的沉重负担下正在崩溃。MVE解决了这个问题的核心，将固有的并行多核处理架构与嵌入式复杂视频分析算法结合在可配置的SoC(片上系统)解决方案中。MVE的初始商业实现是在Xilinx Spartan-3A DSP 3400A FPGA芯片上实现的。MVE基于Eutecus的蜂窝多核视频分析(C-MVA)处理器，包含专门的图像处理IP内核，该处理器是基于对模拟人类视觉处理的蜂窝架构的大量研究而开发的。MVE¿的性能将在室内和室外安全与监控应用中得到展示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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