opencv/modules/legacy/src/blobtrackpostproclinear.cpp
2012-06-12 14:46:12 +00:00

129 lines
4.3 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
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//
// Intel License Agreement
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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//M*/
#include "precomp.hpp"
/*======================= TIME AVERAGING FILTER =========================*/
#define TIME_WND 5
class CvBlobTrackPostProcTimeAver:public CvBlobTrackPostProcOne
{
protected:
CvBlob m_Blob;
CvBlob m_pBlobs[TIME_WND];
float m_Weights[TIME_WND];
int m_Frame;
public:
CvBlobTrackPostProcTimeAver( int KernelType = 0)
{
int i;
m_Frame = 0;
for(i=0;i<TIME_WND;++i)
{
m_Weights[i] = 1;
if(KernelType == 1)
{
m_Weights[i] = (float)exp((-2.3*i)/(TIME_WND-1)); /* last weight is 0.1 of first weight */
}
}
SetModuleName("TimeAver");
};
~CvBlobTrackPostProcTimeAver(){};
CvBlob* Process(CvBlob* pBlob)
{
float WSum = 0;
int i;
int idx = m_Frame % TIME_WND;
int size = MIN((m_Frame+1), TIME_WND);
m_pBlobs[idx] = pBlob[0];
m_Blob.x = m_Blob.y = m_Blob.w = m_Blob.h = 0;
for(i=0; i<size; ++i)
{
float W = m_Weights[i];
int index = (m_Frame - i + TIME_WND) % TIME_WND;
m_Blob.x += W*m_pBlobs[index].x;
m_Blob.y += W*m_pBlobs[index].y;
m_Blob.w += W*m_pBlobs[index].w;
m_Blob.h += W*m_pBlobs[index].h;
WSum += W;
}
assert(WSum>0);
m_Blob.x /= WSum;
m_Blob.y /= WSum;
m_Blob.w /= WSum;
m_Blob.h /= WSum;
m_Frame++;
return &m_Blob;
};
void Release()
{
delete this;
}
}; /* class CvBlobTrackPostProcTimeAver */
static CvBlobTrackPostProcOne* cvCreateModuleBlobTrackPostProcTimeAverRectOne()
{
return (CvBlobTrackPostProcOne*) new CvBlobTrackPostProcTimeAver(0);
}
static CvBlobTrackPostProcOne* cvCreateModuleBlobTrackPostProcTimeAverExpOne()
{
return (CvBlobTrackPostProcOne*) new CvBlobTrackPostProcTimeAver(1);
}
CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverRect()
{
return cvCreateBlobTrackPostProcList(cvCreateModuleBlobTrackPostProcTimeAverRectOne);
}
CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverExp()
{
return cvCreateBlobTrackPostProcList(cvCreateModuleBlobTrackPostProcTimeAverExpOne);
}
/*======================= KALMAN FILTER =========================*/