A list,

How to detect and track faces in video streams. Object detection and tracking are important in many computer vision applications, including activity identification, vehicle safety and surveillance. So this paper mainly summarizes MATLAB face detection and tracking. First, look at the process. Face detection — > Facial feature extraction — > face tracking.

Ii. Source code

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 anew 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 orinvalid 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'); % file basket, select fileif(fileName)  
   fileName = strcat(pathName,fileName); fileName = lower(fileName); % Consistent lowercase letter formatelse   
%   J = 0; % Recorded region growth segmented region msgbox('Please select an video');  
   return; 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);Copy the code

3. Operation results

Fourth, note

Version: 2014 a