video_to_matrix-.rar_视频矩阵

clc clear all rootpath = 'F:\视频原始数据\KTH_dataset\handwaving\'; % rootpath ='F:\wzmku1\hofg梯度求自相关和归一化参考文献中的梯度求法(0.05,0.005)\' all_cat_file = dir(rootpath); all_cat_file = all_cat_file(3:end); cat_len = length(all_cat_file); for cat_num = 1:cat_len cat_name = all_cat_file(cat_num).name; act_file = dir([rootpath,cat_name]); % act_file = act_file(3:end); % act_len = length(act_file); % dtfname = load(fullfile(rootpath,cat_name)); [pathstr, act_name, ext] = fileparts(fullfile(rootpath,cat_name,all_cat_file(cat_num).name)); Name=act_name; mov=VideoReader(pathstr); %读入 nFrames=mov.NumberOfFrames; %视频帧数 vidHeight = mov.Height; %视频的高度 vidWidth = mov.Width; %视频宽度 % M(1:nFrames)= struct('cdata', zeros(vidHeight,vidWidth, 3, 'uint8'),... % 'colormap', []) M(1:nFrames)= struct('cdata', zeros(vidHeight,vidWidth, 3, 'double'),... 'colormap', []); % name=act_name person19_handwaving_d4_uncomp=[]; for k = 1 : nFrames M(k).cdata = read(mov, k); %一帧地读入，并赋给mov M(k).cdata = imresize( M(k).cdata,0.8); temp=M(k).cdata(:,:,1); person19_handwaving_d4_uncomp=[person19_handwaving_d4_uncomp temp(:)]; % save(Name,act_name); end % save('Name11',act_name); end