A. G. Bors and I. Pitas. Optical flow estimation and moving object segmentation based on Median RBF network. IEEE Trans. on Image Processing, 7(5):693--702, 1998.  Home/Search Document Details and Download
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Spatio-Temporal Browsing of Multimedia Presentations - Aygün (2003) (Correct)
....between macroblocks is usually measured by Minimum Square Method (MSE) or Minimum Absolute Distance (MAD) Optical flow algorithms do not handle image sequences having large motion. The median radial basis function network is used for optical flow estimation and moving object segmentation [17]. The network is trained using the information obtained from the user in the first frames of the video. This requires the training of the network for each video or even for each shot. 2.2 Sprite Generation The introduction of the MPEG 4 [87] video standard has motivated many research fields like ....
A. Bors and I. Pitas. Optical flow estimation and moving object segmentation based on median radial basis function network. IEEE Transactions on Image Processing, 7(5):693--702, May 1998.
An EM-like Algorithm for Motion Segmentation via.. - Robles-Kelly, Hancock (2001) (Correct)
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A. G. Bors and I. Pitas. Optical flow estimation and moving object segmentation based on Median RBF network. IEEE Trans. on Image Processing, 7(5):693--702, 1998.
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