initcvabf

Create constant velocity tracking alpha-beta filter from detection report

Description

example

abf = initcvabf(detection) initializes a constant velocity alpha-beta filter for object tracking based on information provided in detection.

Examples

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Create an objectDetection with a position measurement at x=1, y=3 and a measurement noise of [1 0.2; 0.2 2];

detection = objectDetection(0,[1;3],'MeasurementNoise',[1 0.2;0.2 2]);

Use initcvabf to create a trackingABF filter initialized at the provided position and using the measurement noise defined above.

ABF = initcvabf(detection);

Check the values of the state and measurement noise. Verify that the filter state, ABF.State, has the same position components as the Detection.Measurement. Verify that the filter measurement noise, ABF.MeasurementNoise, is the same as the Detection.MeasurementNoise values.

ABF.State
ans = 4×1

     1
     0
     3
     0

ABF.MeasurementNoise
ans = 2×2

    1.0000    0.2000
    0.2000    2.0000

Input Arguments

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Detection report, specified as an Object Detections object.

Example: detection = objectDetection(0,[1;4.5;3],'MeasurementNoise', [1.0 0 0; 0 2.0 0; 0 0 1.5])

Output Arguments

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Constant velocity alpha-beta tracking filter for object tracking, returned as a trackingABF object.

Algorithms

  • The function computes the process noise matrix assuming a unit acceleration standard deviation.

  • You can use this function as the FilterInitializationFcn property of trackerTOMHT and trackerGNN System objects.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

Introduced in R2018b