期刊文献+

基于窗口预测匹配的序列图像点目标轨迹检测算法 被引量:7

The Detection Algorithm Based on Predicting-matching-window for Moving Point Target Trajectory in Image Sequences
下载PDF
导出
摘要 序列图像中运动点目标轨迹的实时检测算法,是目标识别、实时跟踪处理系统中的关键算法之一。在分析不同层次处理方法的基础上,给出了一种基于预测、窗口匹配的点轨迹预测—匹配检测算法,并根据仿真实验的效果,指出此算法可有效地对低信噪比序列图像运动点目标轨迹进行实时检测,具有多目标轨迹检测能力。 The real-time detection algorithm of the moving point target in (image) (sequences) is one of the key (algorithms) in many (real-time) (processing) systems. This paper presents a point-track predicting and (matching) (detecting) algorithm after analyzing several (level) (methods) of the moving point target in image sequences. Based on the (performance) of (simulation) test, we point out the (introduced) (algorithm) can detect low SNR moving point target in image sequences (effectively). The algorithm can detect (multi-target) trajectory in same image sequences (simultaneity).
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2004年第2期25-29,共5页 Journal of National University of Defense Technology
基金 国家重点实验室基金项目(51483040101KJ0101) 国家863基金项目(2002AA813031)
关键词 点目标 跟踪 轨迹检测 预测匹配 point target tracking trajectory detection prediction and matching
  • 相关文献

参考文献11

  • 1Barniv Y.Dynamic Programming Solution for Detecting Dim Moving Targets[J].IEEE Transactions on Aerospace and Electronic System,1985,21(1).
  • 2Barniv Y,Kella O.Dynamic Programming Solution for Detecting Dim Moving Targets Ⅱ[J],IEEE Transactions on Aerospace and Electronic System,1987,23(6).
  • 3Blostein S D,et al Detecting Small Moving Objects in Image Sequences Using Sequential Hypoyhesis Testing[J].IEEE T-SP,1991,39(7).
  • 4Arnold J,Pasternack H.Detection and tracking of Low-observable Targets Through Dynamic Programming[C].SPIE Signal and Date Processing of Small Targets,1990,1305:207.
  • 5Chen Huaming,Sun Guangfu,Lu Huanzhang.Multi level Thresholding and Confidence Testing Detection Algorithm for Small Moving Target in Image Sequences[C].SPIE,2001,4473:520-529.
  • 6Zhang Bing,Lu Huanzhang.The Predicting and Matching Detection Algorithm of Moving Point Target in Image Sequences[C].IEEE International Conference on Neural Networks & Signal Processing,2003.
  • 7张志刚.[D].国防科技大学,2000.
  • 8陈尚锋 .基于加权动态规划的小目标检测算法研究[J].国防科技大学学报,2002,24(11).
  • 9陈华明.[D].国防科技大学,2003.
  • 10熊辉,沈振康,魏急波,李吉成.低信噪比运动红外点目标的检测[J].电子学报,1999,27(12):26-29. 被引量:19

二级参考文献12

  • 1张天序,戴可荣,彭嘉雄.复杂图象序列的自适应目标提取和跟踪方法[J].电子学报,1994,22(10):46-53. 被引量:15
  • 2崔锦泰 程正兴(译).小波分析导论[M].西安:西安交通大学出版社,1995..
  • 3吴敏金.图像形态学[M].上海:上海科学技术文献出版社,1991..
  • 4梁之舜 等.概率论与数理统计[M].北京:高等教育出版社,1980..
  • 5崔锦泰,小波分析导论,1995年
  • 6吴敏金,图像形态学,1991年
  • 7梁之舜,概率论与数理统计,1980年
  • 8M. V. Srinivasan. Generalized gradient schemes for the measurement of two-dimensional image motion[J] 1990,Biological Cybernetics(6):421~431
  • 9S. Uras,F. Girosi,A. Verri,V. Torre. A computational approach to motion perception[J] 1988,Biological Cybernetics(2):79~87
  • 10W. E. Reichardt,R. W. Schl?gl. A two dimensional field theory for motion computation[J] 1988,Biological Cybernetics(1):23~35

共引文献156

同被引文献107

引证文献7

二级引证文献34

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