analyse_result_mean.h

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/**********************************************************************
 * Description: 
 * Specific to the 2D tracking. Consider it as an instance how to use
 * the particle filter.
 *
 *
 * @author: Manuel Boissenin
 * @date: 20/05/2004
 *
 * Time-stamp: <2005-04-29 16:57:05 engmb>
 * Copyright (C) 2004 by Manuel Boissenin
 *
 ***********************************************************************/

#ifndef MMVL_PF_ANALYSE_RESULT_MEAN_HH_INCLUDED
#define MMVL_PF_ANALYSE_RESULT_MEAN_HH_INCLUDED

#include <iostream>
#include <cassert>
#include <cmath>
#include <cstdlib>
#include <vector>
#include <limits>

#include "hypothesis_filter.h"

namespace mimas{
  namespace hf{

    template <typename Hypothesis_T, typename Pixel_T>
    class analyse_result_mean{
    public:
      class set{
      public:
  set(void){}
      };
      

      analyse_result_mean(std::vector<Hypothesis_T> &hypotheses, image<Pixel_T> &image, set nothing)
  :hypotheses_AR(hypotheses), image_AR(image)
  {}
      
      Hypothesis_T analyse(void);

    private:
      const std::vector<Hypothesis_T> &hypotheses_AR;       
      image<Pixel_T> &image_AR;
    };
    
#include "analyse_result_mean.tcc"

  }
}

#endif

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