2009
Sequential spatial processes for image analysis
Publication
Publication
Presented at the
European Congress on Stereology and Image Analysis, Milan
We give a brief introduction to sequential spatial processes. We discuss their definition, formulate a Markov
property, and indicate why such processes are natural tools in tackling high level vision problems. We focus
on the problem of tracking a variable number of moving objects through a video stream, and discuss the
relationship with the popular Hough transform. A list of pointers to the literature concludes the paper.
| Additional Metadata | |
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| ESCULAPIO Co | |
| V. Capasso | |
| Markov sequential point processes for image analysis and statistical physics | |
| European Congress on Stereology and Image Analysis | |
| Organisation | Stochastics |
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van Lieshout, M.-C. (2009). Sequential spatial processes for image analysis. In V. Capasso (Ed.), Proceedings of Stereology and Image Analysis 2009 (pp. 1–6). ESCULAPIO Co. |
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