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基于序列图像的运动目标实时检测方法 被引量:31

Moving targets real-time detecting methods based on the image sequences
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摘要 运动目标检测是当前进行图像分析和理解以及在计算机视觉领域研究的热点,它被广泛地应用于靶场测量、目标监视、视频压缩、车辆跟踪和航空航天等领域。在参考大量文献资料的基础上,系统研究了近年来国内外已经比较成熟的一些算法,并把它们分成了7类。 Moving targets detecting is one of the focuses of the contemporary study on image understanding and computer vision. Presently, there are no summarized papers about algorithms to it. On the basis of a close examination over large amount of related literature, some relatively mature algorithms home and abroad are introduced, and seven groups are divided into by them.
出处 《光学技术》 CAS CSCD 2004年第2期215-217,222,共4页 Optical Technique
关键词 运动目标检测 序列图像 光流 实时检测 图像分析 计算机视觉 moving targets detecting image sequences real-time optical flow
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参考文献37

  • 1王栓,艾海舟,何克忠.基于差分图象的多运动目标的检测与跟踪[J].中国图象图形学报(A辑),1999,4(6):470-475. 被引量:90
  • 2陈朝阳,张桂林.基于图像对称差分运算的运动小目标检测方法[J].华中理工大学学报,1998,26(9):34-35. 被引量:34
  • 3Alan J Lipton, H Fujiyoshi, Raju S Patil. Moving target classification and tracking from real-time video[J]. IEEE Transactions on Workshop Application of Computer Vision, 1998, 8-14.
  • 4Alireza Behrad, Ali Shahrokni, Seyed Ahmad Motamedi. A robust vision-based moving target detection and tracking system[EB/OL]. http:∥ligwww.epfl.ch/~ali.
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  • 7Shoichi Araki, Takashi Matsuoaka, Naokazu Yokoya, et al. Real-time tracking of multiple moving object contours in a moving camera image sequence[J]. IEICE Trans Inf & Syst, 2000,E83-D(7).
  • 8Jain R, Nagel H. On the analysis of accumulative difference of picture from image sequences of real world scenes[J]. IEEE Transactions PAMI, 1979. 206-214.
  • 9Yasushi Mae, Yoshiaki Shirai, Jun Miura, et al. Object tracking in cluttered background based on optical flow and edges[EB/OL]. http:∥www-cv.mech.eng.osaka-u.ac.jp/research/tracking-group/mae/flow-edge/ICPR96/ICPR96.html.
  • 10Yasushi Mae, Shinya Yamamoto, Yoshiaki Shirai, et al. Optical flow based realtime object tracking by active vision System[EB/OL]. http:∥www-cv.mech.eng.osaka-u.ac.jp/research/tracking-group/mae/flow/JFCM94/JFCM94.html.

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