how to crop and save detected face from video?I already detected face from video.

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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);
  1 Comment
Ala Harb
Ala Harb on 30 Oct 2021
videoOut = step(boxInserter, videoFrame, bbox);
bbox shoud be converted to integer = >
videoOut = step(boxInserter, videoFrame, int32(bbox));

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