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Aiming at tracking Closely-Spaced Objects (CSOs) from image observations, a new method using the Probability Hypothesis Density (PHD) filter is proposed. To circumvent the unresolved measurements problem, a detection process is used firstly to extract the connected sets of object pixels that likely correspond to the unresolved targets of interest. Then the representative measurements are constructed...
Tracking of highly maneuvering targets with unknown behavior is a difficult problem in state estimation. This paper presents an adaptive interacting multiple model algorithm (IMM) utilizing adaptive turn rate models to track a maneuvering target. The turn rate is calculated at each step form the estimator of velocity and the radius of curvature of the trajectory of the target by using Least Square...
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