Accession Number:

ADA556070

Title:

Warping Background Subtraction

Descriptive Note:

Conference paper

Corporate Author:

CALIFORNIA UNIV LOS ANGELES DEPT OF COMPUTER SCIENCE

Report Date:

2010-06-01

Pagination or Media Count:

9.0

Abstract:

We present a background model that differentiates between background motion and foreground objects. Unlike most models that represent the variability of pixel intensity at a particular location in the image, we model the underlying warping of pixel locations arising from background motion. The background is modeled as a set of warping layers, where at any given time, different layers may be visible due to the motion of an occluding layer. Foreground regions are thus defined as those that cannot be modeled by some composition of some warping of these background layers. We illustrate this concept by first reducing the possible warps to those where the pixels are restricted to displacements within a spatial neighborhood, and then learning the appropriate size of that spatial neighborhood. Then we show how changes in intensitycolor histograms of pixel neighborhoods can be used to discriminate foreground and background regions. We find that this approach compares favorably with the state of the art, while requiring less computation.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE