期刊文献+

基于数字喷泉码的视频监控系统研究 被引量:1

A video surveillance system based on digital fountain codes
下载PDF
导出
摘要 传统的视频监控系统在纠错性能方面存在着诸多不足,当信道丢包率较大时进行可靠的视频传输显得较为困难。为此,结合RTP传输的优势,设计了一种使用数字喷泉码进行丢包恢复的视频监控系统。首先研究实用的数字喷泉码——LT码,比较了不同度分布算法下LT码的译码性能。根据视频传输系统的应用需求,选择鲁棒孤子度分布算法,研究短码长条件下影响LT码译码性能的主要因素。 Traditional video surveillance system has some problems in error-correcting, so it's difficult to achieve reliable transmission on high-loss network. To solve the problem, this paper designs an IP video surveillance system based on digital fountain codes with the advantage of RTP. Taking LT codes as the research object, this paper studies its performance based on different degree distribution. According to the practical requirement, this paper chooses Robust Soliton Distribution algorithm for the system and studies the factors that affect the performance of LT codes with small message length.
出处 《微型机与应用》 2015年第10期44-47,共4页 Microcomputer & Its Applications
基金 国家自然科学基金资助项目(61372087)
关键词 视频监控 数字喷泉码 LT码:度分布 video surveillance digital fountain codes LT codes degree distribution
  • 相关文献

参考文献4

二级参考文献7

共引文献8

同被引文献11

  • 1PEREZ P,HUE C,VERMAAK J,et al.Color-based probabilistic tracking[C]the 7th European Conference on Computer Vision.Copenhagen:Springer Berlin Heidelberg,2002:661-675. 被引量:1
  • 2SAKARI V,SETHI I K.Feature point correspondence in the presence of occlusion[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(1):87-91. 被引量:1
  • 3RANGARAJAN K,SHAH M.Establishing motion correspondence[C]IEEE Conference on Computer Vision and Pattern Recognition,1991:103-108. 被引量:1
  • 4ADAM A,RIVLIN E,SHIMSHONI I.Robust fragments-based tracking using the integral histogram[C].IEEE Conference on Computer Vision and Pattern Recognition,2006:798-805. 被引量:1
  • 5BORJI A,ITTI L.State-of-the-art in visual attention modeling[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(1):185-207. 被引量:1
  • 6ITTI L,KOCH C,NIEBUR E.A model of saliency-based visual attention for rapid sceneanalysis[J].IEEE Transactionson Pattern Analysis and Machine Intelligence,1998,20(11):1254-1259. 被引量:1
  • 7Cheng Mingming,Zhang Guoxin,MITRA N J,et al.Global contrast based salient region detection[C]IEEE Conference on Computer Vision and Pattern Recognition,2011:409-416. 被引量:1
  • 8牛德智,陈长兴,班斐,陈芳,王卓,陈强.基于变步长重采样的非高斯非线性目标跟踪[J].电子技术应用,2014,40(8):129-132. 被引量:3
  • 9赵宇宙,陈宗海.显著子区域在线选择的目标鲁棒跟踪[J].控制与决策,2014,29(10):1788-1792. 被引量:2
  • 10陈娴,彭宏,吴海巍.视频监控在高速路作业调度系统上的应用[J].微型机与应用,2015,34(1):20-22. 被引量:1

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部