Algorithm 1 Extract strongest body points for human silhouettes

Input: I: Extracted Human Silhouettes

Output: Strongest body points, i.e., head, shoulders, legs, arms, hips

/* for each connected component, extract body points.

B = bwboundaries(binary_image);

lbl = bwlabel(binary_image);

CC2 = bwconncomp(lbl);

L52 = labelmatrix(CC2);

for objectidx2 = 1:CC2.NumObjects

individualsilheouts2 = bsxfun(@times, closezn, L52 == objectidx2);

[labeledImage2,numberofBlobs2] = bwlabel(individualsilheouts2,4);

end

Aa = individualsilheouts2;

/* Defining a upper, middlle and lower portion for each individual silheouts */

th = thershold;

rps = regionprops(Aa,’Boundingbox’, ‘Area’);

for k = 1 to length(rps) do

w = rps(k). Boundingbox

if height > th and width > th then

upper_region = struct(‘x’,w(1), ‘y’, w(2), ‘width’,w(3), ‘height’, w(4)/5); /* head */

middle_region = struct(‘x’,w(1), ‘y’, w(2) + w(4)/4, ‘width’,w(3), ‘height’, w(4)/4); /* arms */

lower_region = struct(‘x’,w(1), ‘y’, w(2) + w(4)/2, ‘width’,w(3), ‘height’, w(4)/2); /* legs */

j = j+1;

s(j) = w;

end

end

top = [x,max_y]:left = [min_x,y]:bottom = [x,min_y]:right = [max_x,y];

% label the head region%

Head =top pixels of upper region

Right Shoulder = Bottom right pixels of upper region

Left Shoulder = Bottom left pixels of upper region

Right arm = Right Pixels of middle region

Left arm = Left Pixels of middle region

Right foot = Bottom right pixels of lower region

Left foot = Bottom left pixels of lower region

return Head, Shoulders, arms, foots