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Two Matlab functions and an example script for template tracking through video
In some cases it may be known that template
may not move as much in particular directions, and therefore would make sense to reduce the search area in that direction but not the others. For instance, in Mario, his jumps and falls happen faster than his left-to-right movements.
With the default mask=1
the line max_vals = max([template(mask)'; 1-template(mask)']);
will only return the maximum value of the first pixel of each. The variable mask
must be the same size as template
in this case.
The maximum SSD calculated in match_template.m
should take into account the mask
for proper 0 to 1 scaling.
Inside the nested for
, define an ROI, and take the difference to be template(mask) - roi(mask)
to not have to subtract, square, and add more pixels than necessary. Test to see the computation time difference.
The line [Y,X,D] = find(diff .* (diff <= thresh));
finds all non-zero values, so even though diff <= thresh
returns 1
at the location where diff==0
, multiplying by diff again will assign that pixel back to 0
, and thus the location won't be returned.
Need to find a different way to set D.
Hi, how did you make the 'template.mat' file in matlab? @alkasm
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