Abstract
This paper focus on one of the major problems in model-based object tracking, the problem of how to dynamically update the model to adapt changes in the structure and appearance of the target object. We adopt Irregular Graph Pyramids to hierarchically represent the topological structure of a rigid moving object with multiresolution, making it possible to add new details observed from an approaching object by expanding the pyramid.
Supported by the Austrian Science Fund under grant P18716-N13.
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Mateos, L.A., Shao, D., Kropatsch, W.G. (2009). Expanding Irregular Graph Pyramid for an Approaching Object. In: Bayro-Corrochano, E., Eklundh, JO. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2009. Lecture Notes in Computer Science, vol 5856. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10268-4_104
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DOI: https://doi.org/10.1007/978-3-642-10268-4_104
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