Background Subtraction and Shadow Detection in Grayscale Video Sequences

Tracking 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 dete...

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Bibliographic Details
Published inXVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05) pp. 189 - 196
Main Authors Jacques, J.C.S., Jung, C.R., Musse, S.R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Application software
Computer vision
Detection algorithms
Gray-scale
Image retrieval
Information retrieval
Subtraction techniques
Target tracking
Video sequences
Video surveillance
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Summary:Tracking 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.
ISBN:9780769523897
0769523897
ISSN:1530-1834
2377-5416
DOI:10.1109/SIBGRAPI.2005.15