在matlab上用vibe算法完成视频前景提取.rar

clear; clc; close all; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Author: Brilliantdo % Last modified time : 2016/12/1 % Blog: http://blog.csdn.net/brilliantdo %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% Parameters param.numberOfSamples = 10; param.matchingThreshold = 10; param.matchingNumber = 2; param.updateFactor = 5; param.numberOfHistoryImages = 2; param.lastHistoryImageSwapped = 0; %% Video Information filename = 'peopleDou.avi'; vidObj = VideoReader(filename); numFrames = vidObj.NumberOfFrames; %视频总的帧数 firstFrame = true; height = vidObj.Height; width = vidObj.Width; param.height = height; param.width = width; %% ViBe Moving Object Detection for k=1:numFrames vidFrame = read(vidObj,k); % figure(1), imshow(vidFrame), title('Original Image'); vidFrame = rgb2gray(vidFrame); vidFrame = double(vidFrame); tic; if firstFrame firstFrame = false; initViBe; end segmentationMap = vibeSegmentation(vidFrame, historyImages, historyBuffer, param); [historyImages, historyBuffer] = vibeUpdate(vidFrame, segmentationMap, historyImages, historyBuffer, param, ... jump, neighborX, neighborY, position); segmentationMap = medfilt2(segmentationMap); toc; figure(2), imshow(segmentationMap), title('Segmentation'); end