| Abstract: |  The thesis describes an implementation of a method estimating the heart beat rate based
on an analysis of the color changes measured in a video of a human face. We use a 3D
facial landmark tracker that allows to extract a stable region on a face needed to acquire
a robust measurement of the color changes. A simple model is proposed to approximate
a linear projection of the color signal by sinusoid superimposed on a line. The unknown
parameters of the model are estimated by the least squares method which has a closed form
solution for fixed heart beat rate. The proposed method is implemented partially in C++
and Matlab and it runs real time on a common PC. Another contribution of the thesis is
a database of 43 videos containing 8 human subjects annotated with their heart beat rate
measured by a precise contact method. The proposed method evaluated on the benchmark
provides estimate of the heart rate with average deviation 5.25 BPM from the ground truth
annotation.
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