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Volume 27 Issue 1
Jan.  2005
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Cao Ju, Tan Yi-hua, Ma Jie, Tian Jin-wen. Detecting Moving Objects from Infrared Image Sequence on Displacing Background[J]. Journal of Electronics & Information Technology, 2005, 27(1): 43-46.
Citation: Cao Ju, Tan Yi-hua, Ma Jie, Tian Jin-wen. Detecting Moving Objects from Infrared Image Sequence on Displacing Background[J]. Journal of Electronics & Information Technology, 2005, 27(1): 43-46.

Detecting Moving Objects from Infrared Image Sequence on Displacing Background

  • Received Date: 2003-08-19
  • Rev Recd Date: 2004-01-26
  • Publish Date: 2005-01-19
  • An approach to detecting moving objects from infrared image sequence on displacing background is proposed in this paper. First the correlation matching technique is used for registering five pictures with the sixth one. Then the registered images are processed to calculate the image differences between the first and fourth, the second and fifth, the third and sixth. After these difference images are multiplied, a very high correlation peak is obtained. Using this method a central point for tracking window can be provided. The experimental results illustrate that this approach is available to this situation.
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  • Milan Sonka, Vaclav Hlavac, Roger Boyle. Image Processing,Analysis, and Machine Vision[M]. A Division of Thomson Asia Pte Led, USA, 1999:679-721.[2]Horn B K P, Schunck B G. Determining optical flow[J].Artificial Intelligence.1981, 17 (1-3):185-204[3]Heiz F, Bouthemy P. Multimodal estimation of discontinuous optical flow using Markov random fields [J].IEEE Trans. on Pattern Analysis and Machine Intelligence.1993, 15(12):1217-1232[4]Sayrol E, Gasull A. Motion estimation using higher order statistics [J].IEEE Trans. on Image Processing.1996, 5(6):1077-1083[5]GonzalezRC,WoodsRE著,阮秋琦,阮宇智译.数字图像处理(第二版)[M].北京:电子工业出版社,2003:507-514.[6]Dubuisson M P, Jain A K. Contour extraction of moving objects in complex outdoor scenes [J].International Journal of Computer Vision.1995, 14(1):83-105
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