期刊文献+

基于运动目标检测跟踪智能监控系统的设计与实现

Design and Implementation of Intelligent Surveillance System Based on Motional target Detection and Tracking Algorithm
原文传递
导出
摘要 针对实时运动目标检测,提出了一种基于DSP的运动目标检测系统的设计方案,给出了系统总体结构框图,分析了系统工作原理,实现了一种采用双重三帧帧差法和背景差分法相结合的运动目标检测方法。实验结果表明,该系统能够准确、实时地检测特定场合的运动目标。 Arming at motional target detection, this paper presents a system design solution based on DSP. The structure of the system is proposed and the principle is analyzed. A mov- ing detection algorithm combined with the double three-frame difference with background subtraction is proposed and implemented to overcome the shortcomings of background sub- traction and frame difference. The effectiveness and accuracy of this algorithm in motional target detection is verified by experiment.
作者 李理 金剑
出处 《武警工程大学学报》 2015年第2期28-31,共4页 Journal of Engineering University of the Chinese People's Armed Police Force
关键词 智能监控 运动目标检测 背景差分法 帧间差分法 intelligent system motional target detection background subtraction frame difference
  • 相关文献

参考文献5

二级参考文献27

  • 1张玲,郭磊民,何伟,陈丽敏.一种基于最大类间方差和区域生长的图像分割法[J].信息与电子工程,2005,3(2):91-93. 被引量:27
  • 2李宏,杨廷梧,任朴舟,李朝晖.基于光流场技术的复杂背景下运动目标跟踪[J].光电工程,2006,33(10):13-17. 被引量:16
  • 3MARGRIT BETKE,ESIN HARITAOGLU LARRY S DAVIS.Multiple Vehicle Detection and Tracking in Hard Real-Time[J].IEEE,1996,(9):351-356.
  • 4JUNG SOH,BYUNG TAE CHUN,MIN WANG.Analysis of Road Image Sequences for Vehicle Counting[J].IEEE International Conference on,1995,(1):679-683.
  • 5Sasa G, Loncaric S. Spatio-temporal image segmentation using optical flow and clustering algorithm [ A ]. First Int' 1 Workshop on Image and Signal Processing and Analysis[ C]. Pula,Croatia, 2000.63 - 68.
  • 6Smith S M,Brady J M. ASSET-2: real-time motion segmentation and shape tracking[A]. Proceedings of the IEEE International Conference on Computer Vision [ C ]. NJ, USA: IEEE,1995. 814 - 820.
  • 7Thompson W B,Pong T C. Detecting moving object[J] .Int J Comp Vision, 1990,4( 1 ) : 39 - 57.
  • 8Jong Bae Kim,Hang Joon Kim. Efficient region-based motion segmentation for a video monitoring system [ J ]. Pattern Recognition Letters,2003,24( 1 - 3) : 113 - 128.
  • 9Needham C J, Boyle R D. Tracking multiple sports players through occlusion, congestion and scale[ A]. British Machine Vision Conference [ C ]. Manchester, UK: School of Computing,University of Leeds,2001.1:93 - 102.
  • 10Elgammal A, Harwood D, Davis L. Non-parametric model for background subtraction[ A]. European Conference on Computer Vision[ C]. Dublin, Ireland,2000.751 - 767.

共引文献121

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