Abstract
A new approach to the extraction of the contour of a moving object
is presented. The method is based on the integration of a motion
segmentation technique using image substraction and a color segmentation
technique based on the split-and-merge algorithm. The advantages of this
method are: it can detect large moving objects and extract their
boundaries; the background can be arbitrarily complicated and contain
many non-moving objects occluded by the moving object; and it requires
only three image frames that need not be consecutive, provided that the
object is entirely contained in each of the three frames. The method is
applied to a large number of color images of vehicles moving on a road
and a highway ramp. The results are promising. The moving object
boundaries are correctly extracted in 66 out of 73 test image sequences.
The authors describe how this contour can be used as an input to a
recognition system that classifies the vehicles into five generic
categories. Of the 73 vehicles, 67 are correctly classified
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