【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
【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
TT_Matlab
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,完整matlab代码或者程序定制加qq1575304183。
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 EDIT
gui_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});
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 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_detect
handles.output
=
hObject;
%
Update handles structure
guidata(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 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)
[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.
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。
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