David Harwin Adviser: Petros Faloutsos Background Removal David Harwin Adviser: Petros Faloutsos

The State of the Art This field has been one of great interest in the past decade There have been many recent papers on the topic with intended applications ranging from visual effects processing to ... In order to determine how to proceed, I have spent the quarter reading and analyzing existing papers.

Identifying motion pixel differencing vs optical flow differencing vulnerable to signal noise, illumination changes, and BG motion optical flow is computationally expensive most opted for hybrid approach only Criminisi (2006) avoids optical flow altogether, and instead uses spatio-temporal continuity of labels

Segmentation 2-pass approach low-level then high-level (Calderara, Tsai, Ćalić)‏ Calderara - 2nd pass checks for consistency of changes in color and intensity over time. Objects with insufficiently coherent motion are ignored as BG Tsai – 1st pass initial labelling (constantly vs never changing), 2nd only works on uncertain pixels Ćalić - creates low-resolution representation, corrects BG for camera motion through matrix transformations, determines most ”salient” frames, then calculation of regions of interest occurs only on these keyframes high-level then low-level (Park)‏ Park - object tracking, followed by pixel differencing inside the object window Single pass Criminisi -

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