Reference TypeConference Proceedings
Citation KeyGracianoCesaBloc:2007:GrObTr
Author1 Graciano, Ana Beatriz Vicentim
2 Cesar-Jr, Roberto M.
3 Bloch, Isabelle
Affiliation1 Institute of Mathematics and Statistics - University of São Paulo
2 Institute of Mathematics and Statistics - University of São Paulo
3 Dept. TSI - ENST - Paris
TitleGraph-based Object Tracking Using Structural Pattern Recognition
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationBelo Horizonte
Keywordsobject tracking, recognition, part-based, graph, video.
AbstractThis paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), which carry both local and relational information about them. The recognition is performed by inexact graph matching, which consists in finding an approximate homomorphism between ARGs derived from an input video and a model image. Searching for a suitable homomorphism is achieved through a tree-search optimization algorithm and the minimization of a pre-defined cost function. Motion smoothness between successive frames is exploited to achieve the recognition over the whole sequence, with improved spatio-temporal coherence.
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size2524 KiB
Number of Files1
Target Filegraciano-GraphBasedTracking.pdf
Last Update2007: administrator
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