New Optical Flow Approach for Motion Segmentation Based on Gamma Distribution-Reference-Cited by-同舟云学术

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New Optical Flow Approach for Motion Segmentation Based on Gamma Distribution

Published:2010 Issue: Volume: Page:444-453
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Jung Cheolkon,Jiao Licheng,Gong Maoguo

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-11301-7_45.pdf

Reference13 articles.

1. Spagnolo, P., Orazio, T.D., Leo, M., Distante, A.: Moving object segmentation by background substraction and temporal analysis. Image and Vision Computing 24, 411–423 (2006)

2. Kuo, M., Hsieh, C.H., Huang, Y.R.: Automatic extraction of moving objects for head-shoulder video sequences. Journal of Visual Communication and Image Representation 16, 68–92 (2005)

3. Jung, C., Kim, J.K.: Motion segmentation using Markov random field model for accurate moving object segmentation. In: Proc. of ACM ICUIMC 2008, pp. 414–418 (2008)

4. Kim, M.C., Jeon, J.G., Kwak, J.S., Lee, M.H., Ahn, C.: Moving object segmentation in video sequences by user interaction and automatic object tracking. Image and Vision Computing 19, 245–260 (2001)

5. Chang, M.M., Tekalp, A.M., Sezan, M.I.: Simultaneous motion estimation and segmentation. IEEE Trans. on Image Processing 6, 1326–1333 (1997)

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1. A novel approach to motion segmentation based on gamma distribution;AEU - International Journal of Electronics and Communications;2012-03

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