Dynamic template Matching Algorithm for human tracking

Question

Duke Watson 2012-6-11

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https://ww2.mathworks.cn/matlabcentral/answers/40843-dynamic-template-matching-algorithm-for-human-tracking

编辑： amarnath 2014-3-13

Hey can anyone tell me the concept and algorithm for tracking a human being using dynamic template matching? I want to know about the gaussian filter too.

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Duke Watson 2012-6-12

Yeah i reached that but i don't get any relevant one. All i need is the algorithm to implement it as this is a part of my project

Walter Roberson 2012-6-12

This resource is for MATLAB-specific questions; please consult a resource for image processing.

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Answer 1

amarnath 2014-3-13

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https://ww2.mathworks.cn/matlabcentral/answers/40843-dynamic-template-matching-algorithm-for-human-tracking#answer_128301

编辑：amarnath 2014-3-13

在 MATLAB Online 中打开

all I needed is the same template matching code for Center of Gravity of moving target in a surveillance .......and I need to connect dynamic template matching output to stepper motor . . . .can you plz help me

{

object detection code . . by frame differencing we used the following code...

vid = videoinput('winvideo',1);

set(vid,'ReturnedColorSpace','rgb');

% Note that example uses both SET method and dot notation method.

set(vid,'TriggerRepeat',Inf);

vid.FrameGrabInterval = 5;

% Set value of a video source property.

vid_src = getselectedsource(vid);

set(vid_src,'Tag','Intellicam setup');

% Create a figure window. figure;

% Start acquiring frames.

start(vid)

% Calculate difference image and display it.

 while(vid.FramesAcquired<=1000) % Stop after 1000 frames
    data = getdata(vid,2); 
    diff_im = imabsdiff(data(:,:,:,1),data(:,:,:,2));
    diff = rgb2gray(diff_im);
    %diff_range = rangefilt(diff);
    %you can use the range filter for better analysis
    diff_bw = im2bw(diff,0.2);
    noi_red = medfilt2(diff_bw,[3 3]);
    %if more noise then use median filter or weiner filt to remove salt n 
pepper noise
    %ulta = imadjust(diff_bw,[0;1],[1;0]);
    bw2 = imfill(diff_bw,'holes');%you can specify any other location
    s  = regionprops(bw2, 'centroid');
    cd = s.Centroid
    centroids = cat(1, s.Centroid);
    imshow(data(:,:,:,2));
    %imshow(diff_bw)
   hold(imgca,'on');
    plot(imgca,centroids(:,1),centroids(:,2),'g*');
   imshow(diff_bw);
   %hold on;
   rectangle('Position',[cd 60 33],'LineWidth',1,'EdgeColor','b');%this is for 
edges
   hold(imgca,'off');