Speed

Calculate the speed of every item in an array based on it’s X and Y coordinates.

Generally used on the tracking data of moving objects.

Properties

• Process noise covariance : Set the sensitivity for noise in the prediction part of the algorithm
  Default : 0.5

• Measure noise covariance : Set the sensitivity for noise in the correction part of the algorithm
  Default : 0.5

• State post covariance : Set the sensitivity for the initial measure taken in account by the algorithm
  Default : 10

For more information on setting Process and Measure noise values, check the Kalman Filter manual page.

Inputs

Outputs

*Note :
The output array will have the additional properties added for each item :
Vx and Vy (speed values for x and y) and Orientation.
The sign of these values ± give an indication on the direction of the movement.

Examples

In this example all properties were left at default values.