DocumentCode
2336271
Title
A benchmark for Background Subtraction Algorithms in monocular vision: A comparative study
Author
Dhome, Yoann ; Tronson, Nicolas ; Vacavant, Antoine ; Chateau, Thierry ; Gabard, Christophe ; Goyat, Yann ; Gruyer, Dominique
Author_Institution
LIST, CEA, Gif-sur-Yvette, France
fYear
2010
fDate
7-10 July 2010
Firstpage
66
Lastpage
71
Abstract
Background subtraction of video sequences is mainly regarded as a solved problem. However, no complete benchmark about Background Subtraction Algorithms (BSA) has been established, with ground truth and associated quality measures. One of the reasons is that such comparative study needs annotated datasets. In this article, we propose a BSA evaluation dataset built from realistic synthetic image and we compare six BSA, according to several quality measures.
Keywords
computer vision; image sequences; realistic images; background subtraction algorithm; monocular vision; quality measure; realistic synthetic image; video sequence; Benchmark testing; Electronic mail; Equations; Image color analysis; Mathematical model; Pixel; Video sequences; Video processing; background subtraction dataset; benchmark; video surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing Theory Tools and Applications (IPTA), 2010 2nd International Conference on
Conference_Location
Paris
ISSN
2154-5111
Print_ISBN
978-1-4244-7247-5
Type
conf
DOI
10.1109/IPTA.2010.5586792
Filename
5586792
Link To Document