1 简介
通过本文的研究,主要是为了能够做好人脸识别的具体分析,并且做好对应的跟踪,基于实际的内容分析,希望对基于视频图像的人脸识别与跟踪有一个整体性的认识.在当前社会下,基于视频图像的人脸识别与跟踪具有重要的现实意义,其无疑是对计算机视觉领域的一大挑战,但是还是需要做好对应的分析与处理.
2 部分代码
function 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 EDITgui_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});endif nargout[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});elsegui_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 facedetecionhandles.output = hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes facedetecion wait for user response (see UIRESUME)% uiwait(handles.figure1);
3 仿真结果

4 参考文献
[1]童林. 基于视频的人脸识别与跟踪算法研究[J]. 计算机与现代化, 2013(2).
博主简介:擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真,相关matlab代码问题可私信交流。
部分理论引用网络文献,若有侵权联系博主删除。
本文探讨了如何使用MATLAB进行人脸识别和跟踪的详细分析,旨在理解基于视频图像的人脸识别与跟踪技术。提供的代码示例展示了功能函数`faceDetection`的基本结构,并指出该功能适用于创建新实例或调用现有实例。实验结果未在此处展示,但提到了参考文献,包括一篇由童林发表的相关期刊文章。博主擅长多种MATLAB仿真,包括智能优化、神经网络等领域。
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