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ICIP
2003
IEEE

Graph-based object tracking

15 years 13 days ago
Graph-based object tracking
This 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.
Cristina Gomila, Fernand Meyer
Added 24 Oct 2009
Updated 24 Oct 2009
Type Conference
Year 2003
Where ICIP
Authors Cristina Gomila, Fernand Meyer
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