A perfect estimation of a background image does not lead to a perfect background subtraction: analysis of the upper bound on the performance

Pierard, Sébastien; Van Droogenbroeck, Marc

doi:10.1007/978-3-319-23222-5_64

Paper published in a book (Scientific congresses and symposiums)

A perfect estimation of a background image does not lead to a perfect background subtraction: analysis of the upper bound on the performance

Pierard, Sébastien; Van Droogenbroeck, Marc

2015 • In International Conference on Image Analysis and Processing (ICIAP)

Peer reviewed

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https://hdl.handle.net/2268/182894

DOI
10.1007/978-3-319-23222-5_64

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A perfect estimation of a background image does not lead to a perfect background subtraction: analysis of the upper bound on the performance

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Keywords :

Background; Background subtraction; Background estimation; Performance analysis; Upper bound; Segmentation

Abstract :

[en] The quest for the “best” background subtraction technique is ongoing. Despite that a considerable effort has been undertaken to develop flexible and efficient methods, some elementary questions are still unanswered. One of them is the existence of an intrinsic upper bound to the performance. In fact, data are affected by noise, and therefore it is illusory to believe that it is possible to achieve a perfect segmentation. This paper aims at exploring some intrinsic limitations of the principle of background subtraction. The purpose consists in studying the impact of several limiting factors separately. One of our conclusions is that even if an algorithm would be able to calculate a perfect background image, it is not sufficient to achieve a perfect segmentation with background subtraction, due to other intrinsic limitations.

Research Center/Unit :

Intelsig
Telim

Disciplines :

Electrical & electronics engineering

Author, co-author :

Pierard, Sébastien ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications

Van Droogenbroeck, Marc ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications

Language :

English

Title :

A perfect estimation of a background image does not lead to a perfect background subtraction: analysis of the upper bound on the performance

Publication date :

September 2015

Event name :

Scene Background Modeling and Initialization (SBMI)

Event place :

Genova, Italy

Event date :

from 07-09-2015 to 11-09-2015

Audience :

International

Main work title :

International Conference on Image Analysis and Processing (ICIAP)

Publisher :

Springer

Collection name :

Lecture Notes on Computer Sciences

Pages :

527-534

Peer reviewed :

Peer reviewed

Available on ORBi :

since 16 June 2015

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Bibliography

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