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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
Pierard, Sébastien; Van Droogenbroeck, Marc
2015In International Conference on Image Analysis and Processing (ICIAP)
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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 :
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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