Discussion :

[inpa77]

J'ai trouvé un programme sous matlab (file exchange);mais mon probleme comment obtention resultat de video format AVI:

Code :

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videoFReader = vision.VideoFileReader('viplanedeparture.avi');
videoPlayer = vision.VideoPlayer;
 
while ~isDone(videoFReader)
   frame = step(videoFReader);
   step(videoPlayer,frame);
end
 
release(videoFReader);
release(videoPlayer);

[Jerome Briot]

La question n'est pas claire

[inpa77]

le résultat de ce programme qui affiche la video a la fenetre matlab.
Ma question est :Je veux faire l'enregistrement du résultat sous forme de vidéo avi
et merci.....

[Jerome Briot]

Je ne comprend toujours pas. Tu as un fichier AVI et tu affiches la vidéo avec MATLAB

Maintenant tu voudrais enregistrer cette vidéo dans un autre fichier AVI ?

[inpa77]

le résultat de ce programme qui affiche la video a la fenetre matlab.
Ma question est :Je veux faire l'enregistrement du résultat de vidéo sous format avi
par exemple de programme dans math works:

Code :

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%Face Detection and Tracking Using CAMShift
 
 
% 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.
videoOut = insertObjectAnnotation(videoFrame,'rectangle',bbox,'Face');
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(1,:));
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(1,1:2) = noseBBox(1,1:2) + bbox(1,1:2);
 
% Create a tracker object.
tracker = vision.HistogramBasedTracker;
 
% Initialize the tracker histogram using the Hue channel pixels from the
% nose.
initializeObject(tracker, hueChannel, noseBBox(1,:));
 
% Create a video player object for displaying video frames.
videoInfo    = info(videoFileReader);
videoPlayer  = vision.VideoPlayer('Position',[300 300 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 = insertObjectAnnotation(videoFrame,'rectangle',bbox,'Face');
 
    % Display the annotated video frame using the video player object
    step(videoPlayer, videoOut);
 
end
 
% Release resources
release(videoFileReader);
release(videoPlayer);

et merci.

[Jerome Briot]

Tu peux sans doute utiliser la classe vision.VideoFileWriter

Je ne possède par la Computer Vison Toolbox, mais essaie peut être ceci :

Code :

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%Face Detection and Tracking Using CAMShift
 
 
% 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.
videoOut = insertObjectAnnotation(videoFrame,'rectangle',bbox,'Face');
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(1,:));
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(1,1:2) = noseBBox(1,1:2) + bbox(1,1:2);
 
% Create a tracker object.
tracker = vision.HistogramBasedTracker;
 
% Initialize the tracker histogram using the Hue channel pixels from the
% nose.
initializeObject(tracker, hueChannel, noseBBox(1,:));
 
% Create a video player object for displaying video frames.
videoInfo    = info(videoFileReader);
videoPlayer  = vision.VideoPlayer('Position',[300 300 videoInfo.VideoSize+30]);
 
vision.VideoFileWriter('myFile.avi','FrameRate',videoFileReader.info.VideoFrameRate);
 
% 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 = insertObjectAnnotation(videoFrame,'rectangle',bbox,'Face');
 
    % Display the annotated video frame using the video player object
    step(videoPlayer, videoOut);
    step(videoFWriter, videoOut);
end
 
% Release resources
release(videoFileReader);
release(videoPlayer);
release(videoFWriter);