A unified approach to moving object detection in 2D and 3D scenes
Irani, M.; Anandan, P.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 20, Issue 6, Jun 1998 Page(s):577 - 589
Digital Object Identifier 10.1109/34.683770
Summary:The detection of moving objects is important in many tasks.
Previous approaches to this problem can be broadly divided into two
classes: 2D algorithms which apply when the scene can be approximated by
a flat surface and/or when the camera is only undergoing rotations and
zooms, and 3D algorithms which work well only when significant depth
variations are present in the scene and the camera is translating. We
describe a unified approach to handling moving object detection in both
2D and 3D scenes, with a strategy to gracefully bridge the gap between
those two extremes. Our approach is based on a stratification of the
moving object detection problem into scenarios which gradually increase
in their complexity. We present a set of techniques that match the above
stratification. These techniques progressively increase in their
complexity, ranging from 2D techniques to more complex 3D techniques.
Moreover, the computations required for the solution to the problem at
one complexity level become the initial processing step for the solution
at the next complexity level. We illustrate these techniques using
examples from real-image sequences
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