【目标检测】基于帧差法和Vibe+高斯建模实现检测行人和车辆附matlab代码

1 简介

监控视频下的前景目标检测与追踪一直都是数字图像处理,机器视觉等领域的重点,也是难点.特别前景目标检测更是重中之重,是后续前景目标追踪和识别的基础,前景检测效果的好坏直接影响后期追踪和识别的效果.因此本文主要研究多环境下的前景目标检测算法、如帧差法,背景建模法和VIBE算法,对传统各类算法从原理上进行研究,并通过实验分析各自的优缺点。

2 部分代码

function varargout = object_detect(varargin)% OBJECT_DETECT MATLAB code for object_detect.fig%      OBJECT_DETECT, by itself, creates a new OBJECT_DETECT or raises the existing%      singleton*.%%      H = OBJECT_DETECT returns the handle to a new OBJECT_DETECT or the handle to%      the existing singleton*.%%      OBJECT_DETECT('CALLBACK',hObject,eventData,handles,...) calls the local%      function named CALLBACK in OBJECT_DETECT.M with the given input arguments.%%      OBJECT_DETECT('Property','Value',...) creates a new OBJECT_DETECT or raises the%      existing singleton*.  Starting from the left, property value pairs are%      applied to the GUI before object_detect_OpeningFcn gets called.  An%      unrecognized property name or invalid value makes property application%      stop.  All inputs are passed to object_detect_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 object_detect% Last Modified by GUIDE v2.5 16-May-2018 08:41:00% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name',       mfilename, ...                   'gui_Singleton',  gui_Singleton, ...                   'gui_OpeningFcn', @object_detect_OpeningFcn, ...                   'gui_OutputFcn',  @object_detect_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{:});else    gui_mainfcn(gui_State, varargin{:});end% End initialization code - DO NOT EDIT% --- Executes just before object_detect is made visible.function object_detect_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 object_detect (see VARARGIN)% Choose default command line output for object_detecthandles.output = hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes object_detect wait for user response (see UIRESUME)% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.function varargout = object_detect_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 structurevarargout{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)[filename, pathname] = uigetfile({'*.avi'; '*.mp4'},'打开视频');str = [pathname filename];set(handles.edit1, 'String', str);function edit1_Callback(hObject, eventdata, handles)release(videoSource);

3 仿真结果

4 参考文献

[1]白一帆, 李海芳, 扆梦楠. 基于Vibe和三帧差法的目标检测算法[J]. 湖南科技大学学报:自然科学版, 2018, 33(2):6.

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部分理论引用网络文献,若有侵权联系博主删除。

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