【人脸识别】基于matlab GUI人脸实时检测与跟踪【含Matlab源码 673期】

一、简介

如何在视频流中检测到人脸以及人脸追踪。对象检测和跟踪在许多计算机视觉应用中都很重要，包括活动识别，汽车安全和监视。所以这篇主要总结MATLAB的人脸检测和跟踪。
首先看一下流程。检测人脸——>面部特征提取——>脸部追踪。

二、源代码

unction varargout = facedetecion(varargin)
% FACEDETECION MATLAB code for facedetecion.fig
%      FACEDETECION, by itself, creates a new FACEDETECION or raises the existing
%      singleton*.
%
%      H = FACEDETECION returns the handle to a new FACEDETECION or the handle to
%      the existing singleton*.
%
%      FACEDETECION('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in FACEDETECION.M with the given input arguments.
%
%      FACEDETECION('Property','Value',...) creates a new FACEDETECION or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before facedetecion_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to facedetecion_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help facedetecion

% Last Modified by GUIDE v2.5 01-May-2017 19:18:42

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @facedetecion_OpeningFcn, ...
                   'gui_OutputFcn',  @facedetecion_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin && ischar(varargin{
    
    1})
    gui_State.gui_Callback = str2func(varargin{
    
    1});
end

if nargout
    [varargout{
    
    1:nargout}] = gui_mainfcn(gui_State, varargin{
    
    :});
else
    gui_mainfcn(gui_State, varargin{
    
    :});
end
% End initialization code - DO NOT EDIT


% --- Executes just before facedetecion is made visible.
function facedetecion_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to facedetecion (see VARARGIN)

% Choose default command line output for facedetecion
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes facedetecion wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = facedetecion_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure
varargout{
    
    1} = handles.output;


% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global myvideo myvideo1;
[fileName,pathName] = uigetfile('*.*','Please select an video');%文件筐，选择文件  
if(fileName)  
   fileName = strcat(pathName,fileName);  
   fileName = lower(fileName);%一致的小写字母形式  
else   
%   J = 0;%记录区域生长所分割得到的区域  
  msgbox('Please select an video');  
   return; %退出程序  
end  

% boxlnserter = vision.ShapeInserter('BorderColor','Custom','CustomBorderColor',[255 0 0]);
% videoOut = step(boxlnserter,videoFrame,bbox);
myvideo = VideoReader(fileName);
nFrames = myvideo.NumberOfFrames
vidHeight = myvideo.Height
vidWidth = myvideo.Width
mov(1:nFrames) = struct('cdata',zeros(vidHeight,vidWidth,3,'uint8'),'colormap',[]);
 B_K = read(myvideo,1);
 axes(handles.axes1);
    imshow(B_K);
   
% myvideo = VideoReader(fileName);
% nFrames = myvideo.NumberOfFrames
% vidHeight = myvideo.Height
% vidWidth = myvideo.Width
% mov(1:nFrames) = struct('cdata',zeros(vidHeight,vidWidth,3,'uint8'),'colormap',[]);
%  B_K = read(myvideo,1);
%     axes(handles.axes1);
%     imshow(B_K);
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global myvideo myvideo1;
nFrames = myvideo.NumberOfFrames
vidHeight = myvideo.Height
vidWidth = myvideo.Width
mov(1:nFrames) = struct('cdata',zeros(vidHeight,vidWidth,3,'uint8'),'colormap',[]);
 faceDetector = vision.CascadeObjectDetector();
% videoFileReader = vision.VideoFileReader(fileName);
% videoFrame = step(videoFileReader);

三、运行结果

四、备注

完整代码或者代写添加QQ 1564658423