Mitsubishi Movemaster Joint Tracking: Part 3 - Joint Tracking with Matlab

Okay I’m not going to type a bunch out here, but I will go ahead and just post the joint tracking video and Matlab code I used. This is using a Kinect for XBox One
Source:
clc
clear
imaqreset
delete(imaqfind)
pause(2)
% Create color and depth kinect videoinput objects.
colorVid = videoinput('kinect', 1)
depthVid = videoinput('kinect', 2)

% Look at the device-specific properties on the depth source device,
% which is the depth sensor on the Kinect V2.
% Set 'EnableBodyTracking' to on, so that the depth sensor will
% return body tracking metadata along with the depth frame.
depthSource = getselectedsource(depthVid);
depthSource.EnableBodyTracking = 'on';

% Acquire 100 color and depth frames.
framesPerTrig = 200;
colorVid.FramesPerTrigger = framesPerTrig;
depthVid.FramesPerTrigger = framesPerTrig;

% Start the depth and color acquisition objects.
% This begins acquisition, but does not start logging of acquired data.
pause(5);
start([depthVid colorVid]);

% Get images and metadata from the color and depth device objects.
[colorImg] = getdata(colorVid);
[~, ~, metadata] = getdata(depthVid);

% These are the order of joints returned by the kinect adaptor.
%    SpineBase = 1;
%    SpineMid = 2;
%    Neck = 3;
%    Head = 4;
%    ShoulderLeft = 5;
%    ElbowLeft = 6;
%    WristLeft = 7;
%    HandLeft = 8;
%    ShoulderRight = 9;
%    ElbowRight = 10;
%    WristRight = 11;
%    HandRight = 12;
%    HipLeft = 13;
%    KneeLeft = 14;
%    AnkleLeft = 15;
%    FootLeft = 16;
%    HipRight = 17;
%    KneeRight = 18;
%    AnkleRight = 19;
%    FootRight = 20;
%    SpineShoulder = 21;
%    HandTipLeft = 22;
%    ThumbLeft = 23;
%    HandTipRight = 24;
%    ThumbRight = 25;


% Create skeleton connection map to link the joints.
SkeletonConnectionMap = [ [4 3];  % Neck
                          [3 21]; % Head
                          [21 2]; % Right Leg
                          [2 1];
                          [21 9];
                          [9 10];  % Hip
                          [10 11];
                          [11 12]; % Left Leg
                          [12 24];
                          [12 25];
                          [21 5];  % Spine
                          [5 6];
                          [6 7];   % Left Hand
                          [7 8];
                          [8 22];
                          [8 23];
                          [1 17];
                          [17 18];
                          [18 19];  % Right Hand
                          [19 20];
                          [1 13];
                          [13 14];
                          [14 15];
                          [15 16];
                        ];


trackingIndex = [];
trackingIncrement = 1; 
for i=1:framesPerTrig
    if(sum(metadata(i).BodyTrackingID) ~= 0)
        trackingIndex(trackingIncrement)=i;
        trackingIncrement=trackingIncrement+1;
    else
        disp("yup")
    end
end

metadata = metadata(trackingIndex);
colorImg = colorImg(:,:,:,trackingIndex);
colors = ['r';'g';'b';'c';'y';'m'];
hfig = figure('units','normalized','outerposition',[0 0 1 1])
%
% 
% % Overlay the skeleton on this RGB frame.
for j=1:size(metadata)
    anyBodiesTracked = any(metadata(j).IsBodyTracked ~= 0);
trackedBodies = find(metadata(j).IsBodyTracked);
nBodies = length(trackedBodies);
colorJointIndices = metadata(j).ColorJointIndices(:, :, trackedBodies);
imshow(colorImg(:,:,:,j));
for i = 1:24
     for body = 1:nBodies
         X1 = [colorJointIndices(SkeletonConnectionMap(i,1),1,body) colorJointIndices(SkeletonConnectionMap(i,2),1,body)];
         Y1 = [colorJointIndices(SkeletonConnectionMap(i,1),2,body) colorJointIndices(SkeletonConnectionMap(i,2),2,body)];
         line(X1,Y1, 'LineWidth', 1.5, 'LineStyle', '-', 'Marker', '+', 'Color', colors(body));
     end

    hold on;
end
drawnow
tmp = getframe(hfig);
 colorImg2(:,:,:,j) = imresize(tmp.cdata,[1280 1920]);
 hold off;
end
 mov=immovie(colorImg2);
 implay(mov);
Mitsubishi Movemaster Joint Tracking: Part 3 – Joint Tracking with Matlab