Authors:
Nikolas Ladas
1
;
Paris Kaimakis
2
and
Yiorgos Chrysanthou
1
Affiliations:
1
University of Cyprus, Cyprus
;
2
University of Central Lancashire Cyprus, Cyprus
Keyword(s):
Segmentation, Background Modelling, Shadow Detection, Visibility Decomposition.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Color and Texture Analyses
;
Computer Vision, Visualization and Computer Graphics
;
Entertainment Imaging Applications
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Segmentation and Grouping
Abstract:
This paper introduces a segmentation algorithm based on the probabilistic modelling of the background color
using a Lambertian formulation of the scene’s appearance. Central in our formulation is the computation of
the degree of light visibility at the scene location depicted by each pixel. Because our approach specifically
models the formation of shadows, segmentation results are of high accuracy. The quality of our results is
further boosted by utilizing key observations about scene appearance. A qualitative and quantitative evaluation
indicates that the proposed method performs better than commonly used segmentation algorithms, both for
sports as well as for generic datasets.