How to improve the accuracy of Gaussian texture models?

Hello,I want to use Gaussian texture models to detect traffic flow. How can I improve the accuracy of the model?

foregroundDetector = vision.ForegroundDetector('NumGaussians', 3, 'NumTrainingFrames', 50);
videoReader = VideoReader('VID_20211023_090102.mp4');
for i = 1:150
    frame = readFrame(videoReader); % read the next video frame
    foreground = step(foregroundDetector, frame);
end
figure; imshow(frame); title('Video Frame');
figure; imshow(foreground); title('Foreground');
se = strel('square', 3);
filteredForeground = imopen(foreground, se);
figure; imshow(filteredForeground); title('Clean Foreground');
blobAnalysis = vision.BlobAnalysis('BoundingBoxOutputPort', true, ...
    'AreaOutputPort', false, 'CentroidOutputPort', false, 'MinimumBlobArea', 150);
bbox = step(blobAnalysis, filteredForeground);
result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green');
numCars = size(bbox, 1);
result = insertText(result, [10 10], numCars, 'BoxOpacity', 1, 'FontSize', 14);
figure; imshow(result); title('Detected Cars');
videoPlayer = vision.VideoPlayer('Name', 'Detected Cars');
videoPlayer.Position(3:4) = [650,400];  % window size: [width, height]
se = strel('square', 3); % morphological filter for noise removal
ii=1;
while hasFrame(videoReader)
    
    frame = readFrame(videoReader); % read the next video frame
    
    % Detect the foreground in the current video frame
    foreground = step(foregroundDetector, frame);
    
    % Use morphological opening to remove noise in the foreground
    filteredForeground = imopen(foreground, se);
    
    % Detect the connected components with the specified minimum area, and
    % compute their bounding boxes
    bbox = step(blobAnalysis, filteredForeground);
    
    % Draw bounding boxes around the detected cars
    result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green');
    
    % Display the number of cars found in the video frame
    numCars = size(bbox, 1);
    numcar(ii)=numCars;
    ii=ii+1;
    result = insertText(result, [10 10], numCars, 'BoxOpacity', 1, ...
        'FontSize', 14);
    
    step(videoPlayer, result);  % display the results
end

Answer 1

[Himanshu]

Hi,

I see that you are trying to improve the accuracy of your Gaussian texture model for detecting traffic flow.

To enhance the accuracy of your model, consider the following steps:

• Increase the number of Gaussians in the mixture model to better capture the background variations.
• Use more training frames to improve the model's understanding of the background.
• Apply additional preprocessing steps to reduce noise and improve foreground detection.
• Tune the parameters of the blob analysis to better detect objects of interest.

Please refer to the below documentations for more information.

1. Foreground detection using Gaussian mixture models: https://www.mathworks.com/help/vision/ref/vision.foregrounddetector-system-object.html
2. "VideoReader" class to learn about reading and processing video files in MATLAB: https://www.mathworks.com/help/matlab/ref/videoreader.html
3. Morphological operations to understand how to apply noise reduction techniques: https://www.mathworks.com/help/images/morphological-dilation-and-erosion.html
4. "vision.BlobAnalysis" system object to learn about detecting and analyzing connected components in binary images: https://www.mathworks.com/help/vision/ref/vision.blobanalysis-system-object.html

I hope this helps.