Summary: Optical Snow Analysis using the 3D-Xray Transform
School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel
School of Electrical Engineering, Bar Ilan University, Ramat Gan 52900, Israel
Department of Applied Mathematics, Yale University, New Haven 06520-8283, USA
There are many methods to analyze motion in computer vision. Most of the classical methods
use optical flow, layered motion or segmentation. Optical snow is a complex motion estimation
scenario which analyzes motions such as snowfall, tree movements, cars traffic and people walking.
These scenes are made of many different objects, moving in different speeds in various directions.
While analyzing these scenes, we have to recover both the motion and object segmentation. In
this paper, we detect optical snow motion in video by using the discrete 3D-Xray transform. The
algorithm uses the discrete 3D-Xray transform, which is situated as a core algorithm in medical
imaging when 3D reconstructions from projections are needed, to partition the captured data and