期刊文献+

基于数学形态学的视频图像序列中的运动目标检测 被引量:6

Moving Objects Detection in the Video Sequences Based on Mathematical Morphology
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摘要 R.Keshet(Kresch)提出了完备半格中的数学形态学,并给出了在视频图像序列中运动对象检测的应用。本文利用运动补偿、形态学方法和模板填充提出了复杂背景下的运动目标检测算法,并验证了算法的有效性和正确性。 R. Keshet put forward the mathematical morphology of the complete semi-lattice,and applied it to the detection of moving objects. The article improves the moving objects detection algorithm based on mathematical morphology through moving complement and template filling. Experimental results demonstrate the effectiveness and practicality of the method.
出处 《计算机工程与科学》 CSCD 2006年第6期69-70,76,共3页 Computer Engineering & Science
关键词 参考半格 数学形态学 运动目标检测 运动补偿 模板填充 reference semi-lattice mathematical morphology moving objects detection moving complement template filling
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参考文献8

  • 1S Colonnese,G Russo.Automatic Moving Objects and Background Segmentation by Means of Higher Order Statistics[A].Proc of Visual Communication and Image Processing[C].1997.8-14.
  • 2Jae Cark Choi,Munchurl Kim,Myoung Ho Lee,et al.MPEG 97/1743,Automatic Segmentation Based on Spatio-Temporal Information[S].1997.
  • 3S Ayer,L Bigun.Segmentation of Moving Objects by Robust Motion Parameter Estimation over Multiple Frames[A].Proc of the 4th Int'l Workshop on Time-Varying Image Processing and Moving Objects Recognition[C].1993.295-302.
  • 4杨威,张田文.复杂景物环境下运动目标检测的新方法[J].计算机研究与发展,1998,35(8):724-728. 被引量:54
  • 5R Keshet(Kresch).Mathematical Morphology on Complete Semi-Lattices and Its Applications to Image Processing[J].Fundamenta Informaticae,2000,41(1-2):33-56.
  • 6M-P Dubuisson,A K Jain.Contour Extraction of Moving Objects in Complex Outdoor Scenes[J].International Journal of Computer Vision,1995,(14):83-105.
  • 7贾振堂,贺贵明,韩艳芳.运动视频对象分割的一种快速算法[J].中国图象图形学报(A辑),2002,7(11):1123-1127. 被引量:17
  • 8付忠良.基于图像差距度量的阈值选取方法[J].计算机研究与发展,2001,38(5):563-567. 被引量:41

二级参考文献12

共引文献105

同被引文献33

  • 1许莉,王敏,温月.基于Lab颜色空间的运动目标检测[J].华中科技大学学报(自然科学版),2013,41(S1):219-222. 被引量:15
  • 2王娜,李霞.一种新的改进Canny边缘检测算法[J].深圳大学学报(理工版),2005,22(2):149-153. 被引量:77
  • 3陈凤东,洪炳镕.基于动态阈值背景差分算法的目标检测方法[J].哈尔滨工业大学学报,2005,37(7):883-884. 被引量:43
  • 4黄飞泉,姜弢,马成顺.基于模板匹配的运动目标快速检测与跟踪[J].应用科技,2006,33(6):115-117. 被引量:9
  • 5I.Haritaoglu, D. Harwood and L.S.Davis. W4: Rea-Time Surveillance of People and Their Activities[J]. IEEE Trans. Aug. 2000,22(8): 809-830.
  • 6Collins, Lipton, Kanade, Fujiyoshi, Duggins, Tsin, Tolliver, Enomoto, and Hasegawa. A System for Video SurveiLlance and Monitoring [D]: VSAM Final Report, Technical report CMU-RI-TR-OO-12, Robotics Institute, Carnegie Mellon University,2000-04-05.
  • 7夏良久,李久贤.数字图像处理(第二版)[M].南京:东南大学出版社.2005.
  • 8Lipton A J, Fujiyoshi H, Patit R S. Moving target classification and tracking from real-time video [C]//Proc. IEEE Workshop on Applications of Computer, Princeton, NJ:IEEE, 199818-14.
  • 9Canny J. A computational approach to edge detection[J].IEEE Transactions on PAMI, 1986,8(6):669-698.
  • 10宋宁,尚振宏,刘辉,等.基于彩色图像边缘差分的运动目标检测算法口].微型机与应用,2012,38(4):46-49.

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