多张面孔检测与跟踪

内容

环境配置
运行代码

1.1 访问：Webcam Support Package。击右下角位置的download，下载Webcam安装包

1.2 需要将安装包放在matlab 的当前路径，双击 usbwebcams.mlpkginstall

1.3 点击该文件根据提示，进行安装

在安装完成结束后，在命令行输入：webcam后出现下图属性情况，则说明安装成功

运行代码

%% detectAndTrackFaces
% Automatically detects and tracks multiple faces in a webcam-acquired
% video stream.
%
% Copyright 2013-2014 The MathWorks, Inc 

clear classes;
%% Instantiate video device, face detector, and KLT object tracker
vidObj = webcam;
faceDetector = vision.CascadeObjectDetector(); % Finds faces by default
tracker = MultiObjectTrackerKLT;
%% Get a frame for frame-size information
frame = snapshot(vidObj);
frameSize = size(frame);
%% Create a video player instance
videoPlayer  = vision.VideoPlayer('Position',[200 100 fliplr(frameSize(1:2)+30)]);
%% Iterate until we have successfully detected a face
bboxes = [];
while isempty(bboxes)
    framergb = snapshot(vidObj);
    frame = rgb2gray(framergb);
    bboxes = faceDetector.step(frame);
end
tracker.addDetections(frame, bboxes);
%% And loop until the player is closed
frameNumber = 0;
keepRunning = true;
disp('Press Ctrl-C to exit...');
while keepRunning
    framergb = snapshot(vidObj);
    frame = rgb2gray(framergb);
    if mod(frameNumber, 10) == 0
        % (Re)detect faces.
        %
        % NOTE: face detection is more expensive than imresize; we can
        % speed up the implementation by reacquiring faces using a
        % downsampled frame:
        % bboxes = faceDetector.step(frame);
        bboxes = 2 * faceDetector.step(imresize(frame, 0.5));
        if ~isempty(bboxes)
            tracker.addDetections(frame, bboxes);
        end
    else
        % Track faces
        tracker.track(frame);
    end
    % Display bounding boxes and tracked points.
    displayFrame = insertObjectAnnotation(framergb, 'rectangle',...
        tracker.Bboxes, tracker.BoxIds);
    displayFrame = insertMarker(displayFrame, tracker.Points);
    videoPlayer.step(displayFrame);
    frameNumber = frameNumber + 1;
end
%% Clean up
release(videoPlayer);

运行效果图（因为是夜晚，只有我一人检测，所有没有多目标检测）