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Shadow Detection Based on rgb Color Model.

Authors :
Huang, De-Shuang
Li, Kang
Irwin, George William
Chen, Baisheng
Chen, Duansheng
Source :
Intelligent Computing in Signal Processing & Pattern Recognition; 2006, p1068-1074, 7p
Publication Year :
2006

Abstract

A shadow detection scheme based on photometric invariant rgb color model is proposed. We firstly study the photometric invariance of rgb color model and deduce some important property. The algorithm combines the cues of moving cast shadow on brightness and chromaticity successively to detect candidate shadow regions in rgb color space; finally, a post-processing by exploiting region-based geometry information to exclude pseudo shadow segments. Results are presented for several video sequences representing a variety of illumination conditions and ground materials when the shadows are cast on different surface types. The results show our approach robust to widely different background and illuminations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540372578
Database :
Supplemental Index
Journal :
Intelligent Computing in Signal Processing & Pattern Recognition
Publication Type :
Book
Accession number :
32860460
Full Text :
https://doi.org/10.1007/11816515_138