A physically motivated pixel-based model for background subtraction in 3D images

This paper proposes a new pixel-based background subtraction technique, applicable to range images, to detect motion. Our method exploits the physical meaning of depth information, which leads to an improved background/foreground segmentation and the instantaneous suppression of ghosts that would ap...

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Bibliographic Details
Published in2014 International Conference on 3D Imaging (IC3D) pp. 1 - 8
Main Authors Braham, Marc, Lejeune, Antoine, Van Droogenbroeck, Marc
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2014
Subjects
Adaptation models
background subtraction
Cameras
Color
depth imagery
Image color analysis
Kinect
Mathematical model
Motion detection
Range camera
Three-dimensional displays
video surveillance
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Summary:This paper proposes a new pixel-based background subtraction technique, applicable to range images, to detect motion. Our method exploits the physical meaning of depth information, which leads to an improved background/foreground segmentation and the instantaneous suppression of ghosts that would appear on color images. In particular, our technique considers certain characteristics of depth measurements, such as failures for certain pixels or the non-uniformity of the spatial distribution of noise in range images, to build an improved pixel-based background model. Experiments show that incorporating specificities related to depth measurements allows us to propose a method whose performance is increased with respect to other state-of-the-art methods.
ISSN:2379-1772
2379-1780
DOI:10.1109/IC3D.2014.7032591