1. Problems 1253953980.avi: frame1 cut out grayscale
can you distinguish by the texture?
color is important

2. Model Input image high resolution texture low resolution color
texture is obtained by subtracting
the mean color in each 8x8 window
make independent texture and color models (mostly to reduce variability and dimensionality of texture space)

3. Model
texture
texton histograms FG BG
color
i.i.d. color GMM

4. Recognition patch texton hist texture “distance” to FG_hist
“distance” to BG_hist
learned statistics
learned statistics
color
likelihood ratio
likelihood ratio
color FG/BG likelihood ratio