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Shadow Detection Approach Combining Spectral and Geometrical Properties in Highway Video-Surveillance

by Hakima Asaidi, Abdellah Aarab, Mohamed Bellouki
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 17
Year of Publication: 2012
Authors: Hakima Asaidi, Abdellah Aarab, Mohamed Bellouki
10.5120/8516-2564

Hakima Asaidi, Abdellah Aarab, Mohamed Bellouki . Shadow Detection Approach Combining Spectral and Geometrical Properties in Highway Video-Surveillance. International Journal of Computer Applications. 53, 17 ( September 2012), 40-44. DOI=10.5120/8516-2564

@article{ 10.5120/8516-2564,
author = { Hakima Asaidi, Abdellah Aarab, Mohamed Bellouki },
title = { Shadow Detection Approach Combining Spectral and Geometrical Properties in Highway Video-Surveillance },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 17 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 40-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number17/8516-2564/ },
doi = { 10.5120/8516-2564 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:54:21.612400+05:30
%A Hakima Asaidi
%A Abdellah Aarab
%A Mohamed Bellouki
%T Shadow Detection Approach Combining Spectral and Geometrical Properties in Highway Video-Surveillance
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 17
%P 40-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In applications requiring objects extraction, cast shadows induce shape distortions and object fusions interfering performance of high level algorithms in video surveillance system. Shadow elimination allows to improve the performances of video object extraction, tracking and description tools. In this work, an approach to automatic shadow detection and extraction is proposed, which operates multiple properties derived from spectral, geometric and temporal analysis of shadows. A generic model that chooses the candidate shadow regions based on shadow direction is developed. Then, the validity of detected regions as shadows is verified using the capability of approach that allows associating to each photometric pixel its equivalent part of the shadow, while integrating the various parameters related to illumination and the surface. Simulation results show that the proposed approach is robust and efficient in detecting shadows for different background and changeable illumination conditions.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Visual surveillance adaptive background subtraction object extraction shadow detection

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