multi object tracking in matlab

main.m
% Load video file
videoFile = 'example.avi';
videoReader = VideoReader(videoFile);
numFrames = videoReader.NumberOfFrames;

% Initialize Kalman filter
numTargets = 2;
kalmanFilter = cell(1, numTargets);
initialPositions = [100 100; 200 200];
for i = 1:numTargets
    kalmanFilter{i} = configureKalmanFilter('ConstantVelocity', ...
        initialPositions(i,:), [1 1]*1e5, [25, 10], 25);
end

% Track objects in video frames
for i = 1:numFrames
    frame = read(videoReader, i);
    [centroids, bboxes] = detectObjects(frame); % Implement your own object detection function
    numDetections = size(centroids, 1);
    for j = 1:numTargets
        if (j <= numDetections)
            kalmanFilter{j}.correct(centroids(j,:));
            predictedPosition = predict(kalmanFilter{j});
            bboxes(j, :) = [predictedPosition - [w h]/2, w, h];
        end
    end
    % Display tracked objects in video frame
    frameWithDetections = insertObjectAnnotation(frame, 'rectangle', ...
        bboxes, repmat('Object', numTargets, 1));
    imshow(frameWithDetections);
    drawnow;
end
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