cvmotempl.cpp.svn-base
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SVN-BASE
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/*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 "_cv.h"
/*F///////////////////////////////////////////////////////////////////////////////////////
// Name: icvUpdateMHIByTime32fC1R
// Purpose: The function updates motion history image.
// Context:
// Parameters:
// silIm - silhouette image
// silStep - its step
// mhiIm - motion history image
// mhiStep - its step
// size - size of both images (in pixels)
// timestamp - current system time (in seconds)
// mhi_duration - maximal duration of motion track before it will
// be removed (in seconds too)
// Returns:
// CV_OK or error code:
// CV_NULLPTR_ERR - silIm or mhiIm pointer are null
// CV_BADSIZE_ERR - width or height is negative or steps less than width
// CV_BADFACTOR_ERR - mhi_duration is non positive
// Notes:
//F*/
IPCVAPI_IMPL( CvStatus, icvUpdateMotionHistory_8u32f_C1IR, (const uchar * silIm,
int silStep,
float *mhiIm,
int mhiStep,
CvSize size,
float timestamp,
float mhi_duration) )
{
int y;
int delbound;
/* function processes floating-point images using integer arithmetics */
int ts = *((int *) ×tamp);
int *mhi = (int *) mhiIm;
if( !silIm || !mhiIm )
return CV_NULLPTR_ERR;
if( size.height <= 0 || size.width <= 0 ||
silStep < size.width || mhiStep < size.width * sizeof_float ||
(mhiStep & (sizeof_float - 1)) != 0 )
return CV_BADSIZE_ERR;
if( mhi_duration < 0 )
return CV_BADFACTOR_ERR;
mhi_duration = timestamp - mhi_duration;
delbound = CV_TOGGLE_FLT( (*(int *) &mhi_duration) );
mhiStep /= sizeof_float;
if( mhiStep == size.width && silStep == size.width )
{
size.width *= size.height;
size.height = 1;
}
if( delbound > 0 )
for( y = 0; y < size.height; y++, silIm += silStep, mhi += mhiStep )
{
int x;
for( x = 0; x < size.width; x++ )
{
int val = mhi[x];
/* val = silIm[x] ? ts : val < delbound ? 0 : val; */
val &= (val < delbound) - 1;
val ^= (ts ^ val) & ((silIm[x] == 0) - 1);
mhi[x] = val;
}
}
else
for( y = 0; y < size.height; y++, silIm += silStep, mhi += mhiStep )
{
int x;
for( x = 0; x < size.width; x++ )
{
int val = mhi[x];
/* val = silIm[x] ? ts : val < delbound ? 0 : val; */
val &= (CV_TOGGLE_FLT( val ) < delbound) - 1;
val ^= (ts ^ val) & ((silIm[x] == 0) - 1);
mhi[x] = val;
}
}
return CV_OK;
}
/*F///////////////////////////////////////////////////////////////////////////////////////
// Name: icvCalcMotionGradient32fC1R
// Purpose: The functions calculates motion gradient and mask where it is valid
// Context:
// Parameters:
// mhi - motion history image
// mhiStep - its step
// mask - mask(out): indicates where <orient> data is valid
// maskStep - its step
// orient - image containing gradient orientation(out) (in degrees)
// orientStep - its step
// size - size of the all images in pixels
// aperture_size - size of the filters for Dx & Dy
// maxTDelta - gradient bounds.
// minTDelta _/
// origin - 0 - image data start from geometrical top (y coordinate increases)
// 1 - image data start from geometrical bottom (y decreases)
// Returns:
// CV_OK or error code:
// CV_NULLPTR_ERR - orient or mask or mhi pointers are null
// CV_BADSIZE_ERR - width or height is negative or steps less than width
// CV_BADFACTOR_ERR - if sobel_order parameter is invalid (<2 or >8 or uneven) or
// minDelta >= maxDelta.
// Notes:
//F*/
static CvStatus
icvCalcMotionGradient32fC1R( float *mhi, int mhiStep,
uchar * mask, int maskStep,
float *orient, int orientStep,
CvSize roi, int apertureSize,
float maxTDelta, float minTDelta, int origin )
{
float gradientEps = 1e-4f * apertureSize;
int iGradientEps = (int &) gradientEps;
int iMinDelta = *(int *) &minTDelta;
int iMaxDelta = *(int *) &maxTDelta;
int x, y;
CvMorphState *morph_filter;
float *drvX_min;
float *drvY_max;
int tempStep;
int tempSize;
_CvConvState *pX;
_CvConvState *pY;
CvStatus result = CV_OK;
/* check parameters */
if( !orient || !mask || !mhi )
return CV_NULLPTR_ERR;
if( orient == mhi )
return CV_INPLACE_NOT_SUPPORTED_ERR;
if( roi.height <= 0 || roi.width <= 0 || orientStep < roi.width * 4 ||
maskStep < roi.width || mhiStep < roi.width * 4 )
return CV_BADSIZE_ERR;
if( ((mhiStep | orientStep) & 3) != 0 )
return CV_BADSIZE_ERR;
tempStep = icvAlign(roi.width,2) * sizeof( float );
tempSize = tempStep * roi.height;
drvX_min = (float *) icvAlloc( tempSize );
drvY_max = (float *) icvAlloc( tempSize );
if( !drvX_min || !drvY_max )
{
result = CV_OUTOFMEM_ERR;
goto func_exit;
}
icvMorphologyInitAlloc( roi.width, cv32f, 1,
cvSize( apertureSize, apertureSize ),
cvPoint( apertureSize / 2, apertureSize / 2 ),
CV_SHAPE_RECT, 0, &morph_filter );
/* calc Dx and Dy */
icvSobelInitAlloc( roi.width, cv32f, apertureSize, origin, 1, 0, &pX );
result = icvSobel_32f_C1R( mhi, mhiStep, drvX_min, tempStep, &roi, pX, 0 );
icvFilterFree( &pX );
if( result < 0 )
goto func_exit;
icvSobelInitAlloc( roi.width, cv32f, apertureSize, origin, 0, 1, &pY );
result = icvSobel_32f_C1R( mhi, mhiStep, drvY_max, tempStep, &roi, pY, 0 );
icvFilterFree( &pY );
if( result < 0 )
goto func_exit;
/* calc gradient */
for( y = 0; y < roi.height; y++, drvX_min += tempStep / sizeof( float ),
drvY_max += tempStep / sizeof( float ), orient += orientStep / sizeof( float ))
{
icvbFastArctan_32f( drvY_max, drvX_min, orient, roi.width );
/* make orientation zero where the gradient is very small */
for( x = 0; x < roi.width; x++ )
{
int dY = ((int *) drvY_max)[x] & 0x7fffffff;
int dX = ((int *) drvX_min)[x] & 0x7fffffff;
((int *) orient)[x] &= ((dX < iGradientEps) && (dY < iGradientEps)) - 1;
}
}
drvX_min -= tempSize / sizeof( float );
drvY_max -= tempSize / sizeof( float );
orient -= (orientStep / sizeof( float )) * roi.height;
result = icvErodeStrip_Rect_32f_C1R( mhi, mhiStep, drvX_min, tempStep,
&roi, morph_filter, 0 );
if( result < 0 )
goto func_exit;
result = icvDilateStrip_Rect_32f_C1R( mhi, mhiStep, drvY_max, tempStep,
&roi, morph_filter, 0 );
if( result < 0 )
goto func_exit;
/* mask off pixels which have little motion difference in their neighborhood */
for( y = 0; y < roi.height; y++, drvX_min += tempStep / sizeof( float ),
drvY_max += tempStep / sizeof( float ),
orient += orientStep / sizeof( float ), mask += maskStep )
{
for( x = 0; x <= roi.width - 4; x += 4 )
{
float d0 = drvY_max[x] - drvX_min[x];
float d1 = drvY_max[x + 1] - drvX_min[x + 1];
float d2 = drvY_max[x + 2] - drvX_min[x + 2];
float d3 = drvY_max[x + 3] - drvX_min[x + 3];
mask[x] = (uchar) ((*(int *) &d0 >= iMinDelta) && (*(int *) &d0 <= iMaxDelta));
mask[x + 1] = (uchar) ((*(int *) &d1 >= iMinDelta) && (*(int *) &d1 <= iMaxDelta));
mask[x + 2] = (uchar) ((*(int *) &d2 >= iMinDelta) && (*(int *) &d2 <= iMaxDelta));
mask[x + 3] = (uchar) ((*(int *) &d3 >= iMinDelta) && (*(int *) &d3 <= iMaxDelta));
/*((int*)orient)[x] &= (mask[x] == 0) - 1;
((int*)orient)[x + 1] &= (mask[x + 1] == 0) - 1;
((int*)orient)[x + 2] &= (mask[x + 2] == 0) - 1;
((int*)orient)[x + 3] &= (mask[x + 3] == 0) - 1; */
}
for( ; x < roi.width; x++ )
{
float delta = drvY_max[x] - drvX_min[x];
mask[x] = (uchar) ((delta >= minTDelta) && (delta <= maxTDelta));
/*((int*)orient)[x] &= (mask[x] == 0) - 1; */
}
}
drvX_min -= tempSize / sizeof( float );
drvY_max -= tempSize / sizeof( float );
func_exit:
icvMorphologyFree( &morph_filter );
icvFree( &drvX_min );
icvFree( &drvY_max );
return result;
}
/*F///////////////////////////////////////////////////////////////////////////////////////
// Name: icvCalcGlobalOrientation32fC1R
// Purpose: The function calculates general motion direction in the selected region.
// Context:
// Parameters:
// orient - orientation image
// orientStep - its step
// mask - region mask
// maskStep - its step
// mhi - motion history image
// mhiStep - its step
// size - size of the all images in pixels
// curr_mhi_timestamp - the last timestamp when mhi was updated
// mhi_duration - maximal motion track duration.
// angle - result: motion direction of the region
// Returns:
// CV_OK or error code:
// CV_NULLPTR_ERR - orient or mask or mhi pointers are null
// CV_BADSIZE_ERR - width or height is negative or steps less than width
// CV_BADFACTOR_ERR - mhi_duration is non positive
// Notes:
//F*/
static CvStatus
icvCalcGlobalOrientation32fC1R( float *orient, int orientStep,
uchar * mask, int maskStep,
float *mhi, int mhiStep,
CvSize size,
float curr_mhi_timestamp, float mhi_duration, float *angle )
{
#define _CV_MT2_HIST_SIZE 12
const double hist_scale = _CV_MT2_HIST_SIZE / 360.;
float delbound = curr_mhi_timestamp - mhi_duration;
int orient_hist[_CV_MT2_HIST_SIZE];
int y;
int base_orient = 0;
if( !orient || !mask || !mhi || !angle )
return CV_NULLPTR_ERR;
if( orient == mhi )
return CV_INPLACE_NOT_SUPPORTED_ERR;
if( size.height <= 0 || size.width <= 0 ||
orientStep < size.width * 4 || maskStep < size.width || mhiStep < size.width * 4 )
return CV_BADSIZE_ERR;
if( mhi_duration <= 0 )
return CV_BADFACTOR_ERR;
orientStep /= 4;
mhiStep /= 4;
memset( orient_hist, 0, sizeof( orient_hist ));
/* 1. Calc orientation histogram */
for( y = 0; y < size.height; y++ )
{
int x;
for( x = 0; x < size.width; x++ )
if( mask[x] != 0 )
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