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@@ -42,13 +42,14 @@ result_future = filter.eval(time=1)
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## Tracker
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Oftentimes, multiple objects must be tracked that also require filtering. SimpleFilters implements a simple multi-object tracker for this purpose.
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Oftentimes, multiple objects must be tracked that also require filtering. SimpleFilters implements a simple multi-object tracker for this purpose. The tracker associates objects by applying minimum weight matching to a distance graph.
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The following properties can be defined:
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* **distance_threshold**: Maximum distance to match objects - when the threshold is exceeded, a new object will be created
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* **max_time_to_live**: If an object is not seen, it is still retained for the given number of state updates
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* **time_to_birth**: The number of observations needed until an object is born
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* **filter_prototype**: A filter that will be cloned for each new appearing object
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* **distance_function**: A lambda (x1, x2) that returns a distance between the two arrays
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The **PolynomialFilterStrategy** is especially suitable for tracking, as it can predict the future state of the object according to its reconstructed polynomial:
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```

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