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It would be nice to have an example of sensor fusion or multiple target tracking, where we approximate a joint distribution on an unknown number of objects via a multi-Bernoulli process. The idea is to accumulate knowledge by sequentially updating a joint hypothesis density from observations that are frames or collections of single-object observations.
It would be nice to have an example of sensor fusion or multiple target tracking, where we approximate a joint distribution on an unknown number of objects via a multi-Bernoulli process. The idea is to accumulate knowledge by sequentially updating a joint hypothesis density from observations that are frames or collections of single-object observations.
See also pyro.contrib.tracking.
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