MONOCULAR DEPTH-BASED BACKGROUND ESTIMATION

Diego Cheda, Daniel Ponsa, Antonio M. López

2012

Abstract

In this paper, we address the problem of reconstructing the background of a scene from a video sequence with occluding objects. The images are taken by hand-held cameras. Our method composes the background by selecting the appropriate pixels from previously aligned input images. To do that, we minimize a cost function that penalizes the deviations from the following assumptions: background represents objects whose distance to the camera is maximal, and background objects are stationary. Distance information is roughly obtained by a supervised learning approach that allows us to distinguish between close and distant image regions. Moving foreground objects are filtered out by using stationariness and motion boundary constancy measurements. The cost function is minimized by a graph cuts method. We demonstrate the applicability of our approach to recover an occlusion-free background in a set of sequences.

Paper Citation

in Harvard Style

Cheda D., Ponsa D. and M. López A. (2012). MONOCULAR DEPTH-BASED BACKGROUND ESTIMATION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 323-328. DOI: 10.5220/0003816503230328

in Bibtex Style

@conference{visapp12,
author={Diego Cheda and Daniel Ponsa and Antonio M. López},
title={MONOCULAR DEPTH-BASED BACKGROUND ESTIMATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={323-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003816503230328},
isbn={978-989-8565-03-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - MONOCULAR DEPTH-BASED BACKGROUND ESTIMATION
SN - 978-989-8565-03-7
AU - Cheda D.
AU - Ponsa D.
AU - M. López A.
PY - 2012
SP - 323
EP - 328
DO - 10.5220/0003816503230328