loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Antoine Vacavant 1 ; Lionel Robinault 2 ; Serge Miguet 2 ; Chris Poppe 3 and Rik van de Walle 4

Affiliations: 1 Clermont Université, Université d’Auvergne and ISIT, France ; 2 Université de Lyon, CNRS and Université Lyon 2, France ; 3 Ghent University-IBBT, Belgium ; 4 Multimedia Lab - Elis - Ibbt - Ghent University, Belgium

ISBN: 978-989-8425-47-8

Keyword(s): H.264 Bitstream analysis, Background subtraction, Adaptive background modeling.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Real-Time Vision ; Software Engineering ; Statistical Approach ; Tracking of People and Surveillance ; Video Analysis

Abstract: In this article, we propose a novel approach to detect moving objects in H.264 compressed bitstreams. More precisely, we describe a multi-modal background subtraction technique that uses the size of macroblocks in order to label them as belonging to the background of the observed scene or not. Here, we integrate an adaptive Gaussian mixture-based scheme to model the background. We evaluate our contribution using the PETS video dataset and a realist synthetic video sequence rendered by a 3-D urban environment simulator. We compare two different background models, and we show that the Gaussian mixture-based is the best and outperforms other techniques that use macro bloc sizes.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.231.226.211

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Vacavant, A.; Robinault, L.; Miguet, S.; Poppe, C. and van de Walle, R. (2011). ADAPTIVE BACKGROUND SUBTRACTION IN H.264/AVC BITSTREAMS BASED ON MACROBLOCK SIZES.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 51-58. DOI: 10.5220/0003364000510058

@conference{visapp11,
author={Antoine Vacavant. and Lionel Robinault. and Serge Miguet. and Chris Poppe. and Rik van de Walle.},
title={ADAPTIVE BACKGROUND SUBTRACTION IN H.264/AVC BITSTREAMS BASED ON MACROBLOCK SIZES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={51-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003364000510058},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - ADAPTIVE BACKGROUND SUBTRACTION IN H.264/AVC BITSTREAMS BASED ON MACROBLOCK SIZES
SN - 978-989-8425-47-8
AU - Vacavant, A.
AU - Robinault, L.
AU - Miguet, S.
AU - Poppe, C.
AU - van de Walle, R.
PY - 2011
SP - 51
EP - 58
DO - 10.5220/0003364000510058

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.