A unified approach to moving object detection in 2D and 3D scenes
- 1 January 1996
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 712-717 vol.1
- https://doi.org/10.1109/icpr.1996.546117
Abstract
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. In this paper, 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 and corresponding techniques which gradually increase in their complexity. 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.Keywords
This publication has 16 references indexed in Scilit:
- Layered representation for motion analysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Direct recovery of shape from multiple views: a parallax based approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encodingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Robust detection of degenerate configurations for the fundamental matrixPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Robust egomotion estimation from affine motion parallaxPublished by Springer Nature ,1994
- Stochastic motion clusteringPublished by Springer Nature ,1994
- 3D geometry from planar parallaxPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Detecting moving objectsInternational Journal of Computer Vision, 1990
- Inherent ambiguities in recovering 3-D motion and structure from a noisy flow fieldPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Representation of local geometry in the visual systemBiological Cybernetics, 1987