BinomialFrameSkipModel |
Model of frame skipping that return the probability of two track fragments
being from the same object, given the number of skipped frames between them.
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FrameSkipModel |
Model of frame skipping that return the probability of two track fragments
being from the same object, given the number of skipped frames between them.
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GraphAssociationProblem |
This class is the graph used to find the optimal multi-commodity flow and
then use the results to associate the tracks into longer tracks.
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LocationProbCalc |
This class is used to calculate the probability of an event at the given
location being either the start of a track or the end of a track(enter
prob/exit prob).
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MotionModel |
MotionModel does a comparison of two track fragments and gives a 0-1
likelihood value of being the same tracked object based on their mean
movement vectors.
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ParallelGraphAssociationProblem |
This class is the graph used to find the optimal multi-commodity flow and
then use the results to associate the tracks into longer tracks.
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PoissonObsModel |
This class is used to calculate the observation cost of a given track using a
Poisson model of observation that uses the change in the number of events
detected in the current frame from the previous.
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