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Volume 27 Issue 1
Jan.  2005
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Liu Yang, Li Yu-shan. The Moving Object Detection Based on 2D Spatio-temporal Entropic Thresholding[J]. Journal of Electronics & Information Technology, 2005, 27(1): 39-42.
Citation: Liu Yang, Li Yu-shan. The Moving Object Detection Based on 2D Spatio-temporal Entropic Thresholding[J]. Journal of Electronics & Information Technology, 2005, 27(1): 39-42.

The Moving Object Detection Based on 2D Spatio-temporal Entropic Thresholding

  • Received Date: 2003-08-07
  • Rev Recd Date: 2004-03-02
  • Publish Date: 2005-01-19
  • A method of moving object detection based on two dimensional (2D) spatio-temporal entropic thresholding is proposed in this paper. The characteristics of several common approaches for moving object detection are analyzed, and 2D entropic thresholding method is used to detect the structural region of the moving object. The 2D thresholding method is first deduced. A fast algorithm for entropic thresholding is put forward. The experimental results show that this method can be used to detect the moving object, and reduce the computational time efficiently.
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  • Forsyth D A, Ioffe S, Haddon J. Bayesian structure from motion.The Proc. of the Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece, Sept 1999, vol. 1: 660 - 665.[2]Wang D. Unsupervised video segmentation based on watersheds and temporal tracking[J].IEEE Trans. on Circuits and Systems for Video Technology.1998, 8(5):539-[3]Bilal Ahmad M, Tae-Sun Choi. Edge detection-based block motion estimation. Electronics Letters, 2001, 37(1): 136 - 144.[4]Fan Jianping, Zhu Xingquan, Wu Lide. Automatic model-based semantic object extraction algorithm[J].IEEE Trans. on Circuits and Systems for Video Technology.2001, 11(10):1073-[5]Fan J, Elmagarmid A K. Statistical approaches to tracking-based moving object extraction.The Proc. of 1999 International Conference on Information Intelligence and Systems, Bethesda,MD, USA, 31 Oct. - 3 Nov. 1999:375 - 381.[6]Abutaleb A S. Automatic thresholding of gray level pictures using two-dimensional entropy[J].Computer Vision Graphics Image Process.1989, 47(1):22-[7]Brink A D. Thresholding of digital images using two dimensional entropies[J].Pattern Recognition.1992, 25 (8):803-[8]Wang Qing, Wang Qiurang, Feng D D, et al.. A fast 2D entropic thresholding method by wavelet decomposition. The Proceedings of 2002 International Conference on Image Processing, Rochester,New York, June 2002, vol.3:265 - 268.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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