CODEWITHSUNDEEP
matlabimage-processingcomputer-visionface-detectionmatlab-cvst
Kelloggs Chocos
Kelloggs Chocos

Reputation: 11

Detecting frames for which a face appears in a video

I need to detect the number of frames for which a face is appearing in a video. I looked into the sample code using CAMShift algorithm provided in the MathWorks site(http://www.mathworks.in/help/vision/examples/face-detection-and-tracking-using-camshift.html). Is there a way of knowing whether a face has appeared in a particular frame?

I'm new to MatLab. I'm assuming the step function will return a false value if no face is detected (condition fails - similar to C). Is there a possible solution? I think using MinSize is also a possible solution.

I am not concerned about the computational burden - although a faster approach for the same would be appreciated. My current code is given below:

clc;
clear all;

videoFileReader = vision.VideoFileReader('Teapot.mp4', 'VideoOutputDataType', 'uint8', 'ImageColorSpace', 'Intensity');
video = VideoReader('Teapot.mp4');
numOfFrames = video.NumberOfFrames;
faceDetector    = vision.CascadeObjectDetector();
opFolder = fullfile(cd, 'Face Detected Frames');

frameCount     = 0;
shotCount      = 0;

while ~isDone(videoFileReader)

    videoFrame      = step(videoFileReader);
    bbox            = step(faceDetector, videoFrame);
    framCount = frameCount + 1;

    for i = 1:size(bbox,1)
        shotCount = shotCount + 1;
        rectangle('Position',bbox(i,:),'LineWidth', 2, 'EdgeColor', [1 1 0]);
        videoOut = insertObjectAnnotation(videoFrame,'rectangle',bbox,'Face');
        progIndication = sprintf('Face has been detected in frame %d of %d frames', shotCount, numOfFrames);
        figure, imshow(videoOut), title(progIndication);
    end
end
release(videoFileReader);

Upvotes: 1

Views: 1425

Answers (1)

Dima
Dima

Reputation: 39389

You can use the vision.CascadeObjectDetector object to detect faces in any particular frame. If it does not detect any faces, its step method will return an empty array. The problem is that the face detection algorithm is not perfect. Sometimes it detects false positives, i. e. detects faces where there are none. You can try to mitigate that my setting the MinSize and MaxSize properties, assuming you know what size faces you expect to find.

Upvotes: 1

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