Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2005: (UTC) administrator
Metadata Last Update2020: (UTC) administrator
Citation KeyJacquesJrJungMuss:2005:BaSuSh
TitleBackground subtraction and shadow detection in grayscale video sequences
Access Date2021, Dec. 07
Number of Files1
Size382 KiB
Context area
Author1 Jacques Jr, Julio Cezar Silveira
2 Jung, Claudio Rosito
3 Musse, Soraia Raupp
Affiliation1 UNISINOS
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2005-07-15 19:32:37 :: crjung -> banon ::
2005-07-18 14:44:53 :: banon -> crjung ::
2008-07-17 14:11:01 :: crjung -> banon ::
2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:55 :: administrator -> banon ::
2010-08-28 20:01:19 :: banon -> administrator ::
2020-02-19 03:19:19 :: administrator -> :: 2005
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordsbackground modelling
shadow detection
normalized cross-correlation
AbstractTracking moving objects in video sequence is an important problem in computer vision, with applications several fields, such as video surveillance and target tracking. Most techniques reported in the literature use background subtraction techniques to obtain foreground objects, and apply shadow detection algorithms exploring spectral information of the images to retrieve only valid moving objects. In this paper, we propose a small improvement to an existing background model, and incorporate a novel technique for shadow detection in grayscale video sequences. The proposed algorithm works well for both indoor and outdoor sequences, and does not require the use of color cameras..
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Target Filejacquesjj_shadow.pdf
User Groupcrjung
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