  Interference detection of arbitrary geometric objects is not a trivial task
due to the heavy computational load imposed by implementation issues. The
hierarchically structured bounding boxes help us to quickly isolate the contour
of segments in interference. In this paper, a new approach is introduced to
treat the interference detection problem involving the representation of
arbitrary shaped objects. Our proposed method relies upon searching for the
best possible way to represent contours by means of hierarchically structured
rectangular oriented bounding boxes. This technique handles 2D objects
boundaries defined by closed B-spline curves with roughness details. Each
oriented box is adapted and fitted to the segments of the contour using second
order statistical indicators from some elements of the segments of the object
contour in a multiresolution framework. Our method is efficient and robust when
it comes to 2D animations in real time. It can deal with smooth curves and
polygonal approximations as well results are present to illustrate the
performance of the new method.
