目标检测软件

Question

我想要创建一个运动检测软件获取输入视频通过实时流相机。该软件必须执行以下操作：

当在上面检测到运动时，它会在有运动的区域周围画一个矩形。-For绘制矩形，我认为使用vision.CascadeObjectDetector，因为有一个例子，他们用来进行人脸识别，但问题是，我不知道CascadeObjectDetector是否与我做的代码(视频输入)工作。应该用imaqVideoDevice来做吗？

2-记录在固定时间内屏幕上有多少次移动，并在一分钟内返回有多少次移动。比如每分钟做一次动作计数。您可以在代码中看到-As，我使用toc函数来生成计数器，并使用"cont“变量来计数已注册的移动。我想知道，我需要做什么才能完成柜台.-

虽然我对Matlab有点陌生，但我知道它的库充满了潜力，我愿意更多地了解它。这是我的密码。你们可能想忽略评论部分，因为它是巴西葡萄牙语。

提前谢谢。

我为vision.ForegroundDetector完成了代码的重建，但现在我遇到了一个问题.我不知道如何在subplot(1,2,1); imshow(FrameRGB); title('Imagem Recebida')上重现它的结果，我只知道我不使用imshow.

%O botão Fechar, deve finalizar o código e parar a câmera
uicontrol('String', 'Fechar',...
          'Callback', 'stop(camera)',...
          'Callback', 'close');
camera = videoinput('winvideo', 1, 'MJPG_320x240');

Detect = vision.ForegroundDetector(...
       'NumTrainingFrames', 100, ... % 5 because of short video
       'InitialVariance', 30*30); % initial standard deviation of 30
hblob = vision.BlobAnalysis(...
       'CentroidOutputPort', false, 'AreaOutputPort', false, ...
       'BoundingBoxOutputPort', true, ...
       'MinimumBlobAreaSource', 'Property', 'MinimumBlobArea', 250);
hsi = vision.ShapeInserter('BorderColor','White');

set(camera,'TriggerRepeat', Inf);
camera.FrameGrabInterval = 1.5;

cont = 0; %cont é a variável que vai armazenar o movimento
A = 0;
timerEnd = 0;

start(camera)
timerStart = tic;
hsnk = vision.VideoPlayer();

while(camera.FramesAcquired>=0)

        FrameRGB = getsnapshot(camera);
        fgMask = step(Detect, FrameRGB);
        bbox   = step(hblob, fgMask);
        out    = step(hsi, FrameRGB, bbox); % draw bounding boxes around cars
        %drawnow;
        subplot(1,2,1); imshow(hsnk); title('Imagem Recebida')
        text(cont, timerEnd,...
        ['Contador:', num2str(cont/timerEnd)],...
        'HorizontalAlignment', 'left');


        IM = getdata(camera,2);
        IMGray = rgb2gray(IM(:,:,1:3));
        IMbw=im2bw(IMGray,0.5);
        IMneg=imadjust(IMGray,[0 1],[1 0]);

        i1=IM(:,:,:,1);
        i2=IM(:,:,:,2);
        i1=rgb2gray(i1(:,:,1:3));
        i2=rgb2gray(i2(:,:,1:3));
        m=abs(double(i1)-double(i2))/256;
        subplot(1,2,2);imshow(m);title('Detecção de Movimentos')



        if sum(sum(m))>700

            cont = cont+1;
            A = mod(cont,0);
        end

        timerEnd = toc(timerStart);
        fprintf('Em %d minutos e %f segundos, obteve-se %14.0f movimentos  \n', floor(timerEnd/60), rem(timerEnd,60), A);

end

stop(camera)

%O botão Fechar, deve finalizar o código e parar a câmera
uicontrol('String', 'Fechar',...
          'Callback', 'stop(camera)',...
          'Callback', 'close');
camera = videoinput('winvideo', 1, 'MJPG_320x240');

Detect = vision.ForegroundDetector(...
       'NumTrainingFrames', 10, ... % 5 because of short video
       'InitialVariance', 4.5*4.5); % initial standard deviation of 30

hblob = vision.BlobAnalysis(...
       'CentroidOutputPort', false, 'AreaOutputPort', false, ...
       'BoundingBoxOutputPort', true, ...
       'MinimumBlobAreaSource', 'Property', 'MinimumBlobArea', 250);
hsi = vision.ShapeInserter('BorderColor','White');

set(camera,'TriggerRepeat', Inf);
camera.FrameGrabInterval = 1.5;

cont = 0; %cont é a variável que vai armazenar o movimento
A = 0;


start(camera)
timerStart = tic;
% hsnk = vision.VideoPlayer();


while(camera.FramesAcquired>=0)

        FrameRGB = getsnapshot(camera);
        fgMask = step(Detect, FrameRGB);
        bbox   = step(hblob, fgMask);
        out    = step(hsi, FrameRGB, bbox); % draw bounding boxes around cars
        subplot(1,2,1);imshow(out);title('Imagem x')


        IM = getdata(camera,2);
        IMGray = rgb2gray(IM(:,:,1:3));
        IMbw=im2bw(IMGray,0.5);
        IMneg=imadjust(IMGray,[0 1],[1 0]);

        i1=IM(:,:,:,1);
        i2=IM(:,:,:,2);
        i1=rgb2gray(i1(:,:,1:3));
        i2=rgb2gray(i2(:,:,1:3));
        m=abs(double(i1)-double(i2))/256;
        subplot(1,2,2);imshow(m);title('Detecção de Movimentos')



        if sum(sum(m))>700

            cont = cont+1;
            A = mod(cont,0); 
        end

         if toc(timerStart) == 15.0000
            plot(A, timerEnd, 'c');
            cont = 0;      
            A = 0;
        end 

        timerEnd = toc(timerStart);
        fprintf('Em %f segundos, obteve-se %14.0f movimentos  \n',rem(timerEnd,60), A);
        %fprintf('Em %d minutos e %f segundos, obteve-se %14.0f movimentos  \n', floor(timerEnd/60), rem(timerEnd,60), A);

end


stop(camera)

剩下的唯一问题是计数器，我试图通过这一行构建它：

 if timerEnd == 15.0000
                plot(A, timerEnd, 'c');
                cont = 0;      
                A = 0;
            end 

它有什么问题吗?或者仅仅是它所在的地方没有使它正常工作？再次感谢！

Answer 1

vision.CascadeObjectDetector用于检测特定的对象类别，如人脸、眼睛、鼻子等。对于运动检测，应该使用vision.ForegroundDetector，这将给出一个二进制掩码，将像素标记为背景(静止)或前景(移动)。然而，这将只有当你的相机不移动时才能工作。

有关更多细节，请参见此示例。

有关如何将示例放入自定义UI中，请参阅此vision.VideoPlayer。