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.
V. Capasso
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.