Sequential spatial processes for image analysis
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.
|Markov sequential point processes for image analysis and statistical physics
|European Congress on Stereology and Image Analysis
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.