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		<citationkey>JacquesJrJungMuss:2005:BaSuSh</citationkey>
		<title>Background subtraction and shadow detection in grayscale video sequences</title>
		<format>On-line</format>
		<year>2005</year>
		<numberoffiles>1</numberoffiles>
		<size>382 KiB</size>
		<author>Jacques Jr, Julio Cezar Silveira,</author>
		<author>Jung, Claudio Rosito,</author>
		<author>Musse, Soraia Raupp,</author>
		<affiliation>UNISINOS</affiliation>
		<editor>Rodrigues, Maria Andréia Formico,</editor>
		<editor>Frery, Alejandro César,</editor>
		<e-mailaddress>crjung@unisinos.br</e-mailaddress>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)</conferencename>
		<conferencelocation>Natal</conferencelocation>
		<date>9-12 Oct. 2005</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<keywords>background modelling, shadow detection, normalized cross-correlation.</keywords>
		<abstract>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..</abstract>
		<language>en</language>
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