Reference TypeConference Proceedings
Citation KeyGaldinoBorg:2000:ViAtMo
Author1 Galdino, Leandro Luís
2 Borges, Díbio Leandro
TitleA visual attention model for tracking regions based on color correlograms
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado, RS, Brazil
Keywordsmage colour analysis; visual attention model; region tracking; color correlograms; visual data; reference frame; image segmentation; color regions; spectral information; spatial information; experiments; computer vision
AbstractThe amount of information contained in a single color shot of a scene is extreme considering the variety of tasks that can be performed relying on visual data only. For the purpose of analyzing scenes dynamically, where objects come and go, one has to work under a structure of a visual attention model which prioritizes what type of visual data the system has to follow. This paper presents a novel visual attention model for region tracking based on color correlograms. First, a reference frame is picked and it is segmented for the most significant color regions present in the shot. Color correlograms are then run on every frame after in order to provide spectral and spatial information, for the visual attention control, about the past and the new objects appearing on the scenes. The visual attention (VA) model then keeps track of old and new color regions appearing on the scene until a different frame is chosen. We have run experiments which show the performance of this proposed VA model.
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
OrganizationSBC - Brazilian Computer Society
Tertiary TypeFull Paper
Size519 KiB
Number of Files1
Target File36-43.pdf
Last Update2002: administrator
Metadata Last Update2020: administrator {D 2000}
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