| 摘要 |
A computer-implemented method for probabilistically classifying an occurrence of an event, a change in the state of a target, includes measuring feature data of the target simultaneously processing the measured feature data through first and second filters. The first filter is suited for a situation in which the target is in a first state and generates a first residual and a first residual covariance for the measured feature data. The second filter is suited for a situation in which the target is in a second state and generates a second residual and a second residual covariance for the feature data. By determining a probability of the occurrence of the event and the probability of the non-occurrence of the event and comparing the two probabilities with at least one threshold value the occurrence or non-occurrence of the event is determined. |
