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我目前正在嘗試弄清楚如何能夠檢測距離震源5m的臉部,並且將其臉部特徵清晰到足以讓用戶看到。我正在使用的代碼如圖所示。如何在matlab的面部檢測中追蹤離源頭5m的人臉?
faceDetector = vision.CascadeObjectDetector();
%Get the input device using image acquisition toolbox,resolution = 640x480 to improve performance
obj =imaq.VideoDevice('winvideo', 1, 'YUY2_640x480','ROI', [1 1 640 480]);
set(obj,'ReturnedColorSpace', 'rgb');
figure('menubar','none','tag','webcam');
while (true)
frame=step(obj);
bbox=step(faceDetector,frame);
boxInserter = vision.ShapeInserter('BorderColor','Custom',...
'CustomBorderColor',[255 255 0]);
videoOut = step(boxInserter, frame,bbox);
imshow(videoOut,'border','tight');
f=findobj('tag','webcam');
if (isempty(f));
[hueChannel,~,~] = rgb2hsv(frame);
% Display the Hue Channel data and draw the bounding box around the face.
figure, imshow(hueChannel), title('Hue channel data');
rectangle('Position',bbox,'EdgeColor','r','LineWidth',1)
hold off
noseDetector = vision.CascadeObjectDetector('Nose');
faceImage = imcrop(frame,bbox);
imshow(faceImage)
noseBBox = step(noseDetector,faceImage);
noseBBox(1:1) = noseBBox(1:1) + bbox(1:1);
videoInfo = info(obj);
ROI=get(obj,'ROI');
VideoSize = [ROI(3) ROI(4)];
videoPlayer = vision.VideoPlayer('Position',[300 300 VideoSize+30]);
tracker = vision.HistogramBasedTracker;
initializeObject(tracker, hueChannel, bbox);
while (1)
% Extract the next video frame
frame = step(obj);
% RGB -> HSV
[hueChannel,~,~] = rgb2hsv(frame);
% Track using the Hue channel data
bbox = step(tracker, hueChannel);
% Insert a bounding box around the object being tracked
videoOut = step(boxInserter, frame, bbox);
%Insert text coordinates
% Display the annotated video frame using the video player object
step(videoPlayer, videoOut);
pause (.2)
end
% Release resources
release(obj);
release(videoPlayer);
close(gcf)
break
end
pause(0.05)
end
release(obj)
% remove video object from memory
delete(handles.vid);
我正在努力研究這段代碼,找出跟蹤面部時可以覆蓋的距離。我無法弄清楚哪一個處理。謝謝!