Abstract: Systems and methods are provided for tracking moving objects from a set of measurements. An estimate of a posterior probability distribution for a plurality of track states is determined from an estimate of the posterior probability distribution for a plurality of possible assignments of the set of measurements to a set of tracks representing trajectories of the plurality of moving objects and the set of measurements. A new estimate of the posterior probability distribution for the assignments is determined from the measurements and the estimate of a posterior probability distribution for the track states. A variational lower bound is determined from the new estimate of the posterior probability distribution for the assignments, the estimate of the posterior probability distribution for the track states, and the set of measurements. These steps are iteratively repeated until the variational lower bound is less than a threshold value.

Abstract: Systems and methods are provided for tracking moving objects from a set of measurements. An estimate of a posterior probability distribution for a plurality of track states is determined from an estimate of the posterior probability distribution for a plurality of possible assignments of the set of measurements to a set of tracks representing trajectories of the plurality of moving objects and the set of measurements. A new estimate of the posterior probability distribution for the assignments is determined from the measurements and the estimate of a posterior probability distribution for the track states. A variational lower bound is determined from the new estimate of the posterior probability distribution for the assignments, the estimate of the posterior probability distribution for the track states, and the set of measurements. These steps are iteratively repeated until the variational lower bound is less than a threshold value.

Abstract: Systems and methods are provided for tracking moving objects from a set of measurements. An estimate of a posterior probability distribution for a plurality of track states is determined from an estimate of the posterior probability distribution for a plurality of possible assignments of the set of measurements to a set of tracks representing trajectories of the plurality of moving objects and the set of measurements. A new estimate of the posterior probability distribution for the assignments is determined from the measurements and the estimate of a posterior probability distribution for the track states. A variational lower bound is determined from the new estimate of the posterior probability distribution for the assignments, the estimate of the posterior probability distribution for the track states, and the set of measurements. These steps are iteratively repeated until the variational lower bound is less than a threshold value.

Abstract: Systems and methods are provided for tracking moving objects. A sensor system is configured to measure a position of each of a plurality of moving objects as a set of measurements. A track assignment component is configured to accept the set of measurements from the sensor system and assign a subset of the measurements to respective tracks. The tracks represents the motion of respective objects. The track assignment component represents a cost calculation component configured to provide a cost matrix from at least a change point detection analysis of a feature associated with the set of measurements and an object assignment component configured to assign the subset of the measurements to respective tracks. A filtering component is configured to update respective associated states of tracks representing the plurality of moving objects according to the set of measurements and the assignment of the subset of the measurements to respective tracks.

Abstract: Systems and methods are provided for tracking moving objects from a set of measurements. An estimate of a posterior probability distribution for a plurality of track states is determined from an estimate of the posterior probability distribution for a plurality of possible assignments of the set of measurements to a set of tracks representing trajectories of the plurality of moving objects and the set of measurements. A new estimate of the posterior probability distribution for the assignments is determined from the measurements and the estimate of a posterior probability distribution for the track states. A variational lower bound is determined from the new estimate of the posterior probability distribution for the assignments, the estimate of the posterior probability distribution for the track states, and the set of measurements. These steps are iteratively repeated until the variational lower bound is less than a threshold value.

Abstract: Systems and methods are provided for tracking moving objects. A sensor system is configured to measure a position of each of a plurality of moving objects as a set of measurements. A track assignment component is configured to accept the set of measurements from the sensor system and assign a subset of the measurements to respective tracks. The tracks represents the motion of respective objects. The track assignment component represents a cost calculation component configured to provide a cost matrix from at least a change point detection analysis of a feature associated with the set of measurements and an object assignment component configured to assign the subset of the measurements to respective tracks. A filtering component is configured to update respective associated states of tracks representing the plurality of moving objects according to the set of measurements and the assignment of the subset of the measurements to respective tracks.