期刊文献+

基于Bf561的视频监控系统设计与优化

Bf561-based video surveillance system design and optimization
下载PDF
导出
摘要 介绍了一种基于Blackfin561的视频监控设备的设计方法,首先介绍了该系统的各硬件组成模块,然后介绍了软件实现流程。之后针对系统软硬件特性对优化方法做了详细阐述、并完成对该系统的仿真优化,最后给出了关键的测试结果。该系统应用广泛,可用于安全防范、工业控制能场合。 Introduced the video surveillance equipment design based on Blackfin561, first introduced the system of the hardware module, and then introduced the software implementation process. After the system for optimization of hardware and software features a detailed explanation of the system and the completion of the simulation optimization, given the key to the final test results. The system is widely used, can be used for security, industrial control can occasion.
出处 《微计算机信息》 2009年第31期88-90,共3页 Control & Automation
关键词 视频监控 系统优化 Blackfin561 混合高斯模型 Video Surveillance system optimization Blackfin561 Gaussian mixture model
  • 相关文献

参考文献4

二级参考文献18

  • 1傅德胜,王海彬,孙文静.数字视频监控中的运动目标检测[J].微电子学与计算机,2005,22(1):118-121. 被引量:16
  • 2张铮,张元.基于DirectShow的无线移动视频监控系统[J].微计算机信息,2006,22(11S):136-138. 被引量:13
  • 3[1]Haritaoglu I,Harwood D,Davis L W.Real-time surveillance of people and their activities[J].IEEE Trans Pattern Analysis and Machine Intelligence,2000,22 (8):809-830.
  • 4[2]McKenna S,et al.Tracking groups of people[J].Computer Vision and Image Understanding,2000,80 (1):42-56.
  • 5[3]Kilger M.A shadow handler in a video-based real-time traffic monitoring system[C].In:Proc IEEE Workshop on Applications of Computer Vision,Palm Springs,CA,1992.
  • 6[4]Stauffer C,Grimson W.Adaptive background mixture models for real-time tracking[J].In:Proc IEEE Conference on Computer Vision and Pattern Recognition,Fort Collins,Colorado,1999,2:246-252.
  • 7[5]Lipton A,Fujiyoshi H and Patil R.Moving target classification and tracking from real-time video.In:Proc IEEE Workshop on Applications of Computer Vision,Princeton,NJ,1998,8-14.
  • 8[6]Meyer D,Denzler J and Niemann H.Model based extraction of articulated objects in image sequences for gait analysis.In:Proc IEEE International Conference on Image Processing,Santa Barbara,California 1997,78-81.
  • 9[8]Friedman N,Russell S.Image segmentation in video sequences:a probabilistic approach[C].In:Proc the Thirteenth Conference on Uncertainty in Artificial Intelligence,Rhode Island,USA,1997.
  • 10[9]Stringa E.Morphological change detection algorithms for surveillance applications[C].In:British Machine Vision Conference,Bristol,UK,2000.

共引文献28

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