person movment prediction based on yolo 8 boundary box coordinats in csharp

main.cs
// Include the necessary libraries
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.Tracking;

// Initialize variables
Rectangle currentBoundingBox;
Rectangle previousBoundingBox;

// Load the YOLO model and object detector
var net = DnnInvoke.ReadNetFromDarknet(yoloConfig, yoloWeights);
var objectDetector = new ObjectDetector(net);

// Process each frame
foreach (Frame frame in video)
{
    // Run YOLO object detection on the frame
    var detectedObjects = objectDetector.Detect(frame.Image);

    // Find the person object in the detected objects
    var personObject = detectedObjects
        .Where(obj => obj.Type == "person")
        .FirstOrDefault();

    // Get the current bounding box coordinates for the person
    currentBoundingBox = new Rectangle(personObject.X, personObject.Y, personObject.Width, personObject.Height);

    // Check if this is the first frame
    if (previousBoundingBox.IsEmpty)
    {
        previousBoundingBox = currentBoundingBox;
        continue;
    }

    // Use tracking algorithm to estimate new bounding box
    var tracker = new KalmanTracker();
    var estimatedBoundingBox = tracker.Update(previousBoundingBox, currentBoundingBox);

    // Calculate the movement vector
    var movementVector = new Point(
        estimatedBoundingBox.Center.X - previousBoundingBox.Center.X,
        estimatedBoundingBox.Center.Y - previousBoundingBox.Center.Y
    );

    // Update the previous bounding box coordinates
    previousBoundingBox = currentBoundingBox;

    // Perform further analysis or processing based on the movement vector
    // ...

    // Display the frame with the bounding box and movement vector
    frame.Show(estimatedBoundingBox, movementVector);
}
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