A general solution for multi-thread based multi-source compressed video surveillance system

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2014-12-15 DOI:10.1109/SPAC.2014.6982664

Lu Han, Yixiao Zhao, Shujian Yu, Baojun Zhao, Jiatong Li, Jinghui Wu

{"title":"A general solution for multi-thread based multi-source compressed video surveillance system","authors":"Lu Han, Yixiao Zhao, Shujian Yu, Baojun Zhao, Jiatong Li, Jinghui Wu","doi":"10.1109/SPAC.2014.6982664","DOIUrl":null,"url":null,"abstract":"This paper proposes a general solution for the multi-source high resolution real-time monitoring system. Our proposed system is realized on a PCI bus-based real-time image processing board, based on H.264 video compression standards. The main function of the system includes video decompression, image scaling, image stitching, as well as multi-mode real-time display in PC software. Unlike traditional multi-board based multi-source surveillance system, our solution focuses on single board system with synchronously processing and independently display of multi-source video, which is more resource-saving The main contributions of this paper are twofold: firstly, we propose a new logical control method of multi-thread to overcome the limitation of single-board bandwidth, and secondly we give a DirectDraw based display solution to avoid screen flicker caused by different frame rates of multi-source. In addition, we elaborate an approach on multi-thread control and synchronization to reduce CPU utility and monitor abnormal system condition.","PeriodicalId":326246,"journal":{"name":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAC.2014.6982664","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

This paper proposes a general solution for the multi-source high resolution real-time monitoring system. Our proposed system is realized on a PCI bus-based real-time image processing board, based on H.264 video compression standards. The main function of the system includes video decompression, image scaling, image stitching, as well as multi-mode real-time display in PC software. Unlike traditional multi-board based multi-source surveillance system, our solution focuses on single board system with synchronously processing and independently display of multi-source video, which is more resource-saving The main contributions of this paper are twofold: firstly, we propose a new logical control method of multi-thread to overcome the limitation of single-board bandwidth, and secondly we give a DirectDraw based display solution to avoid screen flicker caused by different frame rates of multi-source. In addition, we elaborate an approach on multi-thread control and synchronization to reduce CPU utility and monitor abnormal system condition.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于多线程的多源压缩视频监控系统的通用解决方案

提出了一种多源高分辨率实时监控系统的通用解决方案。该系统是在基于H.264视频压缩标准的PCI总线实时图像处理板上实现的。该系统的主要功能包括视频解压、图像缩放、图像拼接以及PC软件的多模式实时显示。与传统的基于多板的多源监控系统不同，我们的解决方案侧重于单板系统，对多源视频进行同步处理和独立显示，更加节约资源。首先，我们提出了一种新的多线程逻辑控制方法，以克服单板带宽的限制;其次，我们提出了一种基于DirectDraw的显示方案，以避免多源不同帧率引起的屏幕闪烁。此外，我们还详细阐述了一种多线程控制和同步的方法，以降低CPU利用率和监控系统异常状态。

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分钟内获得全文去求助

来源期刊

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

自引率

0.00%

发文量

期刊最新文献

A new GPR image de-nosing method based on BEMD Design and implementation of one vertical video search engine Multi-scale sparse denoising model based on non-separable wavelet Dollar bill denomination recognition algorithm based on local texture feature Class specific dictionary learning for face recognition