how can i make face clusters using k means after detecting face from video?Here is my face detecting code.
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% Create a cascade detector object. faceDetector = vision.CascadeObjectDetector(); % Read a video frame and run the detector. videoFileReader = vision.VideoFileReader('visionface.avi'); videoFrame = step(videoFileReader); bbox = step(faceDetector, videoFrame);
% Draw the returned bounding box around the detected face. boxInserter = vision.ShapeInserter('BorderColor','Custom',... 'CustomBorderColor',[255 255 0]); videoOut = step(boxInserter, videoFrame,bbox); figure, imshow(videoOut), title('Detected face'); % Get the skin tone information by extracting the Hue from the video frame % converted to the HSV color space. [hueChannel,~,~] = rgb2hsv(videoFrame);
% Display the Hue Channel data and draw the bounding box around the face. figure, imshow(hueChannel), title('Hue channel data'); rectangle('Position',bbox(1,:),'LineWidth',2,'EdgeColor',[1 1 0]) % Detect the nose within the face region. The nose provides a more accurate % measure of the skin tone because it does not contain any background % pixels. noseDetector = vision.CascadeObjectDetector('Nose'); faceImage = imcrop(videoFrame,bbox); noseBBox = step(noseDetector,faceImage);
% The nose bounding box is defined relative to the cropped face image. % Adjust the nose bounding box so that it is relative to the original video % frame. noseBBox(1:2) = noseBBox(1:2) + bbox(1:2);
% Create a tracker object. tracker = vision.HistogramBasedTracker;
% Initialize the tracker histogram using the Hue channel pixels from the % nose. initializeObject(tracker, hueChannel, noseBBox);
% Create a video player object for displaying video frames. videoInfo = info(videoFileReader); videoPlayer = vision.VideoPlayer('Position',[100 100 videoInfo.VideoSize+30]);
% Track the face over successive video frames until the video is finished. while ~isDone(videoFileReader)
% Extract the next video frame
videoFrame = step(videoFileReader);
% RGB -> HSV
[hueChannel,~,~] = rgb2hsv(videoFrame);
% Track using the Hue channel data
bbox = step(tracker, hueChannel);
% Insert a bounding box around the object being tracked
videoOut = step(boxInserter, videoFrame, bbox);
% Display the annotated video frame using the video player object
step(videoPlayer, videoOut);
end
% Release resources release(videoFileReader); release(videoPlayer);
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