Title
The use of vanishing point for the classification of reflections from foreground mask in videos.
Abstract
Extraction of foreground is a basic task in surveillance video analysis. In most real cases, its performance is heavily based on the efficiency of shadow detection and on the analysis of lighting conditions and reflections caused by mirrors or other reflective surfaces. This correspondence is focused on the improvement of foreground extraction in the case of planar reflective surfaces. We show that the geometric model of a scene with a planar reflective surface is reduced to the estimation of vanishing-point for the case of an auto-epipolar (skew-symmetric) fundamental matrix. The correspondences for the vanishing-point estimation are extracted from motion statistics. The knowledge of the position of the vanishing point allows us to integrate the geometric model and the motion statistics into image foreground-extraction to separate foreground from reflections, and thus to achieve better performance. The experiments confirm the accuracy of the vanishing point and the improvement of the foreground image mask by removing reflected object parts.
Year
DOI
Venue
2009
10.1109/TIP.2009.2017137
IEEE Transactions on Image Processing
Keywords
Field
DocType
foreground mask,geometric model,real case,motion statistic,foreground extraction,reflective surface,planar reflective surface,image foreground-extraction,foreground image mask,separate foreground,better performance,fundamental matrix,solid modeling,video processing,image classification,robust estimator,vanishing point,statistics,motion estimation,mirror,layout
Computer vision,Shadow,Pattern recognition,Geometric modeling,Image processing,Solid modeling,Artificial intelligence,Motion estimation,Contextual image classification,Vanishing point,Mathematics,Fundamental matrix (computer vision)
Journal
Volume
Issue
ISSN
18
6
1057-7149
Citations 
PageRank 
References 
0
0.34
18
Authors
3
Name
Order
Citations
PageRank
László Havasi1165.34
Zoltán Szlávik211621.40
Sziranyi, T.339544.76