I wrote matlab code for face detection.In my code it is detecting face for first 100 frames and it crop faces from each frame and saves it in database folder.Problems iam facing
1.Detecting face frame by frame is very slow.Is there any idea to run faster since i have to work on 4000 frames.
2.In my database folder it has to show 1 to 100 face images but it is not showing 11th and 12th face images directly it showing 13th face image after 10th image.23rd face image is blurr.Likewise so many images are missing and some are blurr.Last image number it is showing as 216.But total 106 face images are there in database folder.In that 12 images are blurr.Remaining are correct images.
clc;
clear all;
obj=vision.VideoFileReader('basu.avi');
for k=0:99
videoFrame = step(obj);
%using viola-jones algorithm
FaceDetect = vision.CascadeObjectDetector;
%FaceDetect
BB = step(FaceDetect,videoFrame);
%BB
figure(2),imshow(videoFrame);
for i = 1:size(BB,1)
rectangle('Position',BB(i,:),'LineWidth',3,'LineStyle','-','EdgeColor','r');
end
%crop faces and convert it to gray
for i = 1:size(BB,1)
J= imcrop(videoFrame,BB(i,:));
I=rgb2gray(imresize(J,[292,376]));
%save cropped faces in database folder
filename = ['G:\matlab_installed\bin\database\' num2str(i+k*(size(BB,1))) '.jpg'];
imwrite(I,filename);
end
end