posted on 2006-01-01, 00:00authored byAndrew N. Stein, Martial Hebert
We describe an extension to ordinary patch-based
edge detection in images using spatio-temporal volumetric
patches from video. The inclusion of temporal information
enables us to estimate motion normal to edges in addition
to edge strength and spatial orientation. The method can
handle complex edges in clutter by comparing distributions
of data on either half of an extracted patch, rather than
modeling the intensity profile of the edge. An efficient approach
is provided for building the necessary histograms
which samples candidate edge orientations and motions.
Results are compared to classical spatio-temporal filtering
techniques.