matlab-基于GMM高斯混合模型和形态学操作运动车辆检测matlab仿真-源码

function varargout = ToTestWithoutDetect(varargin) % TOTESTWITHOUTDETECT MATLAB code for ToTestWithoutDetect.fig % TOTESTWITHOUTDETECT, by itself, creates a new TOTESTWITHOUTDETECT or raises the existing % singleton*. % % H = TOTESTWITHOUTDETECT returns the handle to a new TOTESTWITHOUTDETECT or the handle to % the existing singleton*. % % TOTESTWITHOUTDETECT('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in TOTESTWITHOUTDETECT.M with the given input arguments. % % TOTESTWITHOUTDETECT('Property','Value',...) creates a new TOTESTWITHOUTDETECT or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before ToTestWithoutDetect_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to ToTestWithoutDetect_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 ToTestWithoutDetect % Last Modified by GUIDE v2.5 19-Aug-2019 00:13:46 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @ToTestWithoutDetect_OpeningFcn, ... 'gui_OutputFcn', @ToTestWithoutDetect_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 ToTestWithoutDetect is made visible. function ToTestWithoutDetect_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 ToTestWithoutDetect (see VARARGIN) % Choose default command line output for ToTestWithoutDetect handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes ToTestWithoutDetect wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = ToTestWithoutDetect_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) [file,path] = uigetfile({'*.*','All Files'}); if isequal(file,0) disp('User selected Cancel'); else ax = handles.axes1; axOut = handles.axes2; fullFile=fullfile(path,file); %%%%%%%%% foregroundDetector = vision.ForegroundDetector('NumGaussians', 5,'LearningRate',0.15, ... 'MinimumBackgroundRatio',0.3,'NumTrainingFrames', 50); videoReader = vision.VideoFileReader(fullFile); %depVideoPlayer=vision.DeployableVideoPlayer; for i = 1:15 frame = step(videoReader); % read the next video frame foreground = step(foregroundDetector, frame); end h=size(frame,1); w=size(frame,2); s=struct('cdata',zeros(h,w,3,'uint8'),'colormap',[]); se1 = strel('square', 12); se2 = strel('disk', 20); filteredForeground = imopen(foreground, se1); filteredForeground1=imdilate(filteredForeground,se2); blobAnalysis = vision.BlobAnalysis('BoundingBoxOutputPort', true, ... 'AreaOutputPort', false, 'CentroidOutputPort', false, ... 'MinimumBlobArea', 7500); bbox = step(blobAnalysis, filteredForeground); result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green','LineWidth',7); numCars = size(bbox, 1); result = insertText(result, [10 10], numCars, 'BoxOpacity', 1, ... 'FontSize', 14); %figure; imshow(result); title('Detected Cars'); videoPlayer = vision.VideoPlayer('Name', 'Detected Cars'); videoPlayer.Position(3:4) = [650,400]; % window size: [width, height] k=1; i=1; b=1; while ~isDone(videoReader) frame = step(videoReader); % read the next video frame % Detect the foreground in the current video frame foreground = step(foregroundDetector, frame); filteredForeground = imopen(foreground, se1); filteredForeground1=imdilate(filteredForeground,se2); % Use morphological opening to remove noise in the foreground % Detect the connected components with the specified minimum area, and % compute their bounding boxes bbox = step(blobAnalysis, filteredForeground1); % Draw bounding boxes around the detected cars result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green','LineWidth',7); image(result, 'Parent', ax); set(ax, 'Visible', 'off'); % Display the number of cars found in the video frame numCars = size(bbox, 1); i=1; %For e1SpeedUp.mp4 youtube HD if(numCars>=1) for j=1:numCars; if 440<=bbox(j,2)+bbox(j,4) && bbox(j,2)+bbox(j,4)<=450 %if isequal((h-30),bbox(j,2)+bbox(j,4)) ans=bbox(j,2)+bbox(j,4) s(k).cdata=frame; image(s(k).cdata, 'Parent', axOut); set(axOut, 'Visible', 'off'); end end end result = insertText(result, [10 10], numCars, 'BoxOpacity', 1, ... 'FontSize', 14); step(videoPlayer, result); % display the results % depVideoPlayer(result); end release(videoReader); % close the video files %release(depVideoPlayer); end