DocumentCode
2602223
Title
Background subtraction: Experiments and improvements for ViBe
Author
Van Droogenbroeck, M. ; Paquot, O.
Author_Institution
Inst. Montefiore, Univ. of Liege, Liège, Belgium
fYear
2012
fDate
16-21 June 2012
Firstpage
32
Lastpage
37
Abstract
Motion detection plays an important role in most video based applications. One of the many possible ways to detect motion consists in background subtraction. This paper discusses experiments led for a particular background subtraction technique called ViBe. This technique models the background with a set of samples for each pixel and compares new frames, pixel by pixel, to determine if a pixel belongs to the background or to the foreground. In its original version, the scope of ViBe is limited to background modeling. In this paper, we introduce a series of modifications that alter the working of ViBe, like the inhibition of propagation around internal borders or the distinction between the updating and segmentation masks, or process the output, for example by some operations on the connected components. Experimental results obtained for video sequences provided on the workshop site validate the improvements of the proposed modifications.
Keywords
image motion analysis; image segmentation; image sequences; object detection; video signal processing; ViBe experiment; ViBe improvement; background modeling; background subtraction technique; motion detection; propagation inhibition; segmentation masks; updating masks; video based applications; video sequences; Adaptation models; Cameras; Color; Jitter; Measurement; Subtraction techniques; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on
Conference_Location
Providence, RI
ISSN
2160-7508
Print_ISBN
978-1-4673-1611-8
Electronic_ISBN
2160-7508
Type
conf
DOI
10.1109/CVPRW.2012.6238924
Filename
6238924
Link To Document