Suppression of Cast Shadows for Improved Object Discrimination in Video Sequences

Author

Al-Hamadi, Ayoub K. ; Michaelis, Bernd

Author_Institution

Inst. for Electron., Signal Process. & Commun., Otto-von-Guericke-Univ., Magdeburg

Volume

2

fYear

2005

fDate

28-30 Nov. 2005

Firstpage

518

Lastpage

523

Abstract

Firstly we apply a modified difference image-based approach for the extraction of moving objects in video sequences. Then we use post-processing algorithms and shadow detection filter for suppression of the remaining errors by the segmentation. The goal of the shadow detection algorithm is to prevent moving shadows being misclassified as moving objects, thus avoiding the merging of two or more objects into one and improving the accuracy of object description and localization. The efficiency of this approach is demonstrated on the basis of the analysis of disturbed real image sequences

Keywords

feature extraction; filtering theory; image motion analysis; image segmentation; image sequences; object detection; video signal processing; cast shadow suppression; disturbed real image sequence; image segmentation; modified difference image-based approach; moving object extraction; object description; object discrimination; object localization; post-processing algorithm; shadow detection filter; video sequence; Computer vision; Detection algorithms; Image analysis; Image motion analysis; Image segmentation; Image sequences; Motion analysis; Object detection; Robustness; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Vienna

Print_ISBN

0-7695-2504-0

Type

conf

DOI

10.1109/CIMCA.2005.1631521

Filename

1631521