setTrackFilterProperties

Set track filter properties

Syntax

setTrackFilterProperties(tracker,branchID,'Name',Value)

setTrackFilterProperties(tracker,trackID,'Name',Value)

Description

setTrackFilterProperties(tracker,branchID,'Name',Value) sets the values of tracking filter properties of the tracker, tracker, for the branch specified by, branchID. Use valid Name-Value pairs to set properties for the branch. You can specify as many Name-Value pairs as you wish. Property names must match the names of public filter properties. This syntax applies when you create the tracker using trackerTOMHT.

setTrackFilterProperties(tracker,trackID,'Name',Value) sets the values of tracking filter properties of the tracker, tracker, for the track, trackID. Use Name-Value pairs to set properties for the track. You can specify as many Name-Value pairs as you wish. Property names must match the names of public filter properties. This syntax applies when you create the tracker using trackerGNN or trackerJPDA.

Examples

Set Multi-Hypothesis Tracking Filter Properties

Create a tracker using trackerTOMHT. Assign values to the MeasurementNoise and ProcessNoise properties and verify the assignment.

tracker = trackerTOMHT;
detection = objectDetection(0,[0;0;0]);
tracker(detection,0);
branches = getBranches(tracker);
branchID = branches(1).BranchID;
setTrackFilterProperties(tracker,branchID,'MeasurementNoise',2,'ProcessNoise',5);
values = getTrackFilterProperties(tracker,branchID,'MeasurementNoise','ProcessNoise');

Show the measurement noise.

disp(values{1})

    2.0000         0         0
         0    2.0000         0
         0         0    2.0000

Show the process noise.

disp(values{2})

    5.0000         0         0
         0    5.0000         0
         0         0    5.0000

Set Global Nearest-Neighbor Track Filter Properties

Create a tracker using trackerGNN. Assign values to the MeasurementNoise and ProcessNoise properties and verify the assignment.

tracker = trackerGNN;
detection = objectDetection(0,[0;0;0]);
[~, tracks] = tracker(detection,0);
setTrackFilterProperties(tracker,1,'MeasurementNoise',2,'ProcessNoise',5);
values = getTrackFilterProperties(tracker,1,'MeasurementNoise','ProcessNoise');

Show the measurement noise.

disp(values{1})

    2.0000         0         0
         0    2.0000         0
         0         0    2.0000

Show the process noise.

disp(values{2})

    5.0000         0         0
         0    5.0000         0
         0         0    5.0000

Input Arguments

tracker — Target tracker

trackerGNN object | trackerJPDA object | trackerTOMHT object

Target tracker, specified as a trackerGNN, trackerJPDA, or trackerTOMHT object.

branchID — Branch identifier

positive integer

Branch identifier, specified as a positive integer. The identifier must be a valid BranchID reported in the list of branches returned by the getBranches object function.

Example: 21

Data Types: uint32

trackID — Track identifier

positive integer

Track identifier, specified as a positive integer. trackID must be a valid track identifier as reported from the previous track update.

Example: 21

Data Types: uint32

Extended Capabilities

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

Version History

Introduced in R2018b