@BachelorThesis{Cerny-TR-2014-07,
  IS = { zkontrolovano 06 Aug 2014 },
  UPDATE  = { 2014-05-26 },
author =      {{\v C}ern{\'y}, Pavel},
supervisor =  {Franc, Vojt{\v e}ch},
title =       {Heart Beat Rate Estimation from Video},
school =      {Center for Machine Perception, K13133 FEE
               Czech Technical University},
address =     {Prague, Czech Republic},
year =        {2014},
month =       {June},
day =         {16},
type =        {{BSc Thesis CTU--CMP--2014--07}},
issn =        {1213-2365},
pages =       {35},
figures =     {5},
authorship =  {100},
psurl       = {[Cerny-TR-
2014-07.pdf]},
project =     {GACR P202/12/2071},
annote =      {The thesis describes an implementation of a method
               estimating the hart beat rate based on analysis of 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
               sinus function superimposed on a line. The unknown
               parameters of the model are estimated by the least squarest
               method which has a closed from 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 human 8 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. },
keywords =    {heart beat rate estimation, face recognition, biometrics},
}