# distance

Confidence value of measurement

## Description

`d = distance(`

computes a distance between the location of a detected object and the predicted location by
the Kalman filter object. This distance computation takes into account the covariance of the
predicted state and the process noise. The `kalmanFilter`

,`zmatrix`

)`distance`

function can only be called after the `predict`

function.

Use the `distance`

function to find the best matches.
The computed distance values describe how a set of measurements matches the Kalman filter.
You can thus select a measurement that best fits the filter. This strategy can be used for
matching object detections against object tracks in a multiobject tracking problem. This
distance computation takes into account the covariance of the predicted state and the
process noise.

## Examples

## Input Arguments

## More About

## Version History

**Introduced in R2012b**