/*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,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// 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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/video/tracking_c.h"
using namespace cv;
class CV_KalmanTest : public cvtest::BaseTest
{
public:
CV_KalmanTest();
protected:
void run(int);
};
CV_KalmanTest::CV_KalmanTest()
{
}
void CV_KalmanTest::run( int )
{
int code = cvtest::TS::OK;
const int Dim = 7;
const int Steps = 100;
const double max_init = 1;
const double max_noise = 0.1;
const double EPSILON = 1.000;
RNG& rng = ts->get_rng();
CvKalman* Kalm;
int i, j;
CvMat* Sample = cvCreateMat(Dim,1,CV_32F);
CvMat* Temp = cvCreateMat(Dim,1,CV_32F);
Kalm = cvCreateKalman(Dim, Dim);
CvMat Dyn = cvMat(Dim,Dim,CV_32F,Kalm->DynamMatr);
CvMat Mes = cvMat(Dim,Dim,CV_32F,Kalm->MeasurementMatr);
CvMat PNC = cvMat(Dim,Dim,CV_32F,Kalm->PNCovariance);
CvMat MNC = cvMat(Dim,Dim,CV_32F,Kalm->MNCovariance);
CvMat PriErr = cvMat(Dim,Dim,CV_32F,Kalm->PriorErrorCovariance);
CvMat PostErr = cvMat(Dim,Dim,CV_32F,Kalm->PosterErrorCovariance);
CvMat PriState = cvMat(Dim,1,CV_32F,Kalm->PriorState);
CvMat PostState = cvMat(Dim,1,CV_32F,Kalm->PosterState);
cvSetIdentity(&PNC);
cvSetIdentity(&PriErr);
cvSetIdentity(&PostErr);
cvSetZero(&MNC);
cvSetZero(&PriState);
cvSetZero(&PostState);
cvSetIdentity(&Mes);
cvSetIdentity(&Dyn);
Mat _Sample = cvarrToMat(Sample);
cvtest::randUni(rng, _Sample, cvScalarAll(-max_init), cvScalarAll(max_init));
cvKalmanCorrect(Kalm, Sample);
for(i = 0; i<Steps; i++)
{
cvKalmanPredict(Kalm);
for(j = 0; j<Dim; j++)
{
float t = 0;
for(int k=0; k<Dim; k++)
{
t += Dyn.data.fl[j*Dim+k]*Sample->data.fl[k];
}
Temp->data.fl[j]= (float)(t+(cvtest::randReal(rng)*2-1)*max_noise);
}
cvCopy( Temp, Sample );
cvKalmanCorrect(Kalm,Temp);
}
Mat _state_post = cvarrToMat(Kalm->state_post);
code = cvtest::cmpEps2( ts, _Sample, _state_post, EPSILON, false, "The final estimated state" );
cvReleaseMat(&Sample);
cvReleaseMat(&Temp);
cvReleaseKalman(&Kalm);
if( code < 0 )
ts->set_failed_test_info( code );
}
TEST(Video_Kalman, accuracy) { CV_KalmanTest test; test.safe_run(); }
/* End of file. */