图像处理实时瞌睡驾驶员检测matlab

我正试图检测困倦的司机

faceDetector = vision.CascadeObjectDetector();

acik = 0;  
kapali = 0;

framesayisi = 0; 


frame = getsnapshot(obj);
framesayisi = framesayisi + 1;

bbox = step(faceDetector,frame);
videoOut = insertObjectAnnotation(frame,'rectangle',bbox,'');

[hueChannel,~,~] = rgb2hsv(frame);


noseDetector = vision.CascadeObjectDetector('Nose', 'UseROI', true);
noseBBox     = step(noseDetector, frame, bbox);

tracker = vision.HistogramBasedTracker;
initializeObject(tracker, hueChannel, noseBBox);
bboxeye = bbox;


while (1)
       
    frame = getsnapshot(obj);       
    [hueChannel,~,~] = rgb2hsv(frame);  
   
    bbox = step(tracker, hueChannel);    
    
    videoOut = insertObjectAnnotation(frame,'rectangle',bbox,'SÜRÜCÜ');
    subplot(2,1,1);imshow(videoOut); title('Live');
    
    
    
    %% Göz işlemleri
    yuzcr = imcrop(videoOut,bbox);
    yuzcr = rgb2gray(yuzcr);
    
    
    
    EyeDetect = vision.CascadeObjectDetector('EyePairBig');
    bboxeye=step(EyeDetect,yuzcr);      
    
    gozcr = imcrop(yuzcr,bboxeye);
    
    se = strel('disk', 4);
    er = imerode(yuzcr,se);
    dl = imdilate(er,se);
    eg = yuzcr - dl;
    level = graythresh(eg);
    eg = imcrop(eg,bboxeye);
    eg2 = imbinarize(eg,level);    
    
    
    subplot(2,1,2),imshow(eg); title('Live Eyes');
    
    if mean(mean(eg2)) == 0
        kapali = kapali + 1;
    else
        acik  = acik + 1;
    end
    
    if mod(framesayisi,5) == 0
        perclos = (framesayisi - acik)*100/framesayisi;
        kapali = 0;
        acik = 0;
        
        if perclos >= 70
            warning('UYKULU SÜRÜCÜ TESPİT EDİLDİ');
            
        end
    end 
end

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这是密码。首先，我必须检测并跟踪司机的面部表情。首先我使用Matlab级联人脸检测器，然后我使用鼻子检测器跟踪人脸。然后我检测眼睛并应用一些形态学过程，决定让昏昏欲睡的司机。问题是，如果人脸检测仪找不到眼睛（有时人脸检测仪不包含眼睛），程序就会失败。

如果这个问题很容易解决，可以在stackoverflow中解决，那么世界上所有的汽车都会有这项技术。。。没那么容易