| H. Buxton, "Generative Models for Learning and Understanding Dynamic Scene Activity", Generative Model-Based Vision Workshop (GMBV2002. |
....of objects simultaneously with only elementary means. Like other Bayesian multiobject trackers [6,7,8,9,10,11] the presented system uses sequential Monte Carlo methods [12] for Bayesian inference. Though the idea of hierarchically organized prior knowledge can also be found in previous work, e.g. [13,14], the idea of a more general and versatile vision system is only marginal in these approaches. Tracking multiple objects simultaneously within a single tracker allows to model not only the behavior of each individual object but also their interactions. This additional capability can be exploited ....
Buxton, H.: Generative models for learning and understanding dynamic scene activity. In: 1st International Workshop on Generative-Model-Based Vision, Copenhagen, Denmark (2002)
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H. Buxton, "Generative Models for Learning and Understanding Dynamic Scene Activity", Generative Model-Based Vision Workshop (GMBV2002.
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