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		<doi>10.1109/SIBGRA.2002.1167130</doi>
		<citationkey>RochaVelhCarv:2002:ImMoSt</citationkey>
		<title>Image moments-based structuring and tracking of objects</title>
		<year>2002</year>
		<numberoffiles>1</numberoffiles>
		<size>841 KiB</size>
		<author>Rocha, Lourena,</author>
		<author>Velho, Luiz Carlos Pacheco Rodrigues,</author>
		<author>Carvalho, Paulo Cezar,</author>
		<editor>Gonçalves, Luiz Marcos Garcia,</editor>
		<editor>Musse, Soraia Raupp,</editor>
		<editor>Comba, João Luiz Dihl,</editor>
		<editor>Giraldi, Gilson,</editor>
		<editor>Dreux, Marcelo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)</conferencename>
		<conferencelocation>Fortaleza, CE, Brazil</conferencelocation>
		<date>10-10 Oct. 2002</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society</organization>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<abstract>This paper presents a new method for structuring and tracking of objects in video sequences. Our approach is based on image moments and the bsptree data structure. We use invariant properties of these moments to construct a bsptree and determine an ellipsis that approximates the object's shape. Then, we employ this information to track objects frame by frame through the image sequence. The method works well for segmented images with a single object and we assume that the motion will not change abruptly.</abstract>
		<language>en</language>
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		<notes>The conference was held in Fortaleza, CE, Brazil, from October 7 to 10.</notes>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2002/10.23.11.34</url>
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