/*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 // // 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 "_cvaux.h" CvBGCodeBookModel* cvCreateBGCodeBookModel() { CvBGCodeBookModel* model = (CvBGCodeBookModel*)cvAlloc( sizeof(*model) ); memset( model, 0, sizeof(*model) ); model->cbBounds[0] = model->cbBounds[1] = model->cbBounds[2] = 10; model->modMin[0] = 3; model->modMax[0] = 10; model->modMin[1] = model->modMin[2] = 1; model->modMax[1] = model->modMax[2] = 1; model->storage = cvCreateMemStorage(); return model; } void cvReleaseBGCodeBookModel( CvBGCodeBookModel** model ) { if( model && *model ) { cvReleaseMemStorage( &(*model)->storage ); memset( *model, 0, sizeof(**model) ); cvFree( model ); } } static uchar satTab8u[768]; #undef SAT_8U #define SAT_8U(x) satTab8u[(x) + 255] static void icvInitSatTab() { static int initialized = 0; if( !initialized ) { for( int i = 0; i < 768; i++ ) { int v = i - 255; satTab8u[i] = (uchar)(v < 0 ? 0 : v > 255 ? 255 : v); } initialized = 1; } } void cvBGCodeBookUpdate( CvBGCodeBookModel* model, const CvArr* _image, CvRect roi, const CvArr* _mask ) { CV_FUNCNAME( "cvBGCodeBookUpdate" ); __BEGIN__; CvMat stub, *image = cvGetMat( _image, &stub ); CvMat mstub, *mask = _mask ? cvGetMat( _mask, &mstub ) : 0; int i, x, y, T; int nblocks; uchar cb0, cb1, cb2; CvBGCodeBookElem* freeList; CV_ASSERT( model && CV_MAT_TYPE(image->type) == CV_8UC3 && (!mask || CV_IS_MASK_ARR(mask) && CV_ARE_SIZES_EQ(image, mask)) ); if( roi.x == 0 && roi.y == 0 && roi.width == 0 && roi.height == 0 ) { roi.width = image->cols; roi.height = image->rows; } else CV_ASSERT( (unsigned)roi.x < (unsigned)image->cols && (unsigned)roi.y < (unsigned)image->rows && roi.width >= 0 && roi.height >= 0 && roi.x + roi.width <= image->cols && roi.y + roi.height <= image->rows ); if( image->cols != model->size.width || image->rows != model->size.height ) { cvClearMemStorage( model->storage ); model->freeList = 0; cvFree( &model->cbmap ); int bufSz = image->cols*image->rows*sizeof(model->cbmap[0]); model->cbmap = (CvBGCodeBookElem**)cvAlloc(bufSz); memset( model->cbmap, 0, bufSz ); model->size = cvSize(image->cols, image->rows); } icvInitSatTab(); cb0 = model->cbBounds[0]; cb1 = model->cbBounds[1]; cb2 = model->cbBounds[2]; T = ++model->t; freeList = model->freeList; nblocks = (int)((model->storage->block_size - sizeof(CvMemBlock))/sizeof(*freeList)); nblocks = MIN( nblocks, 1024 ); CV_ASSERT( nblocks > 0 ); for( y = 0; y < roi.height; y++ ) { const uchar* p = image->data.ptr + image->step*(y + roi.y) + roi.x*3; const uchar* m = mask ? mask->data.ptr + mask->step*(y + roi.y) + roi.x : 0; CvBGCodeBookElem** cb = model->cbmap + image->cols*(y + roi.y) + roi.x; for( x = 0; x < roi.width; x++, p += 3, cb++ ) { CvBGCodeBookElem *e, *found = 0; uchar p0, p1, p2, l0, l1, l2, h0, h1, h2; int negRun; if( m && m[x] == 0 ) continue; p0 = p[0]; p1 = p[1]; p2 = p[2]; l0 = SAT_8U(p0 - cb0); l1 = SAT_8U(p1 - cb1); l2 = SAT_8U(p2 - cb2); h0 = SAT_8U(p0 + cb0); h1 = SAT_8U(p1 + cb1); h2 = SAT_8U(p2 + cb2); for( e = *cb; e != 0; e = e->next ) { if( e->learnMin[0] <= p0 && p0 <= e->learnMax[0] && e->learnMin[1] <= p1 && p1 <= e->learnMax[1] && e->learnMin[2] <= p2 && p2 <= e->learnMax[2] ) { e->tLastUpdate = T; e->boxMin[0] = MIN(e->boxMin[0], p0); e->boxMax[0] = MAX(e->boxMax[0], p0); e->boxMin[1] = MIN(e->boxMin[1], p1); e->boxMax[1] = MAX(e->boxMax[1], p1); e->boxMin[2] = MIN(e->boxMin[2], p2); e->boxMax[2] = MAX(e->boxMax[2], p2); // no need to use SAT_8U for updated learnMin[i] & learnMax[i] here, // as the bounding li & hi are already within 0..255. if( e->learnMin[0] > l0 ) e->learnMin[0]--; if( e->learnMax[0] < h0 ) e->learnMax[0]++; if( e->learnMin[1] > l1 ) e->learnMin[1]--; if( e->learnMax[1] < h1 ) e->learnMax[1]++; if( e->learnMin[2] > l2 ) e->learnMin[2]--; if( e->learnMax[2] < h2 ) e->learnMax[2]++; found = e; break; } negRun = T - e->tLastUpdate; e->stale = MAX( e->stale, negRun ); } for( ; e != 0; e = e->next ) { negRun = T - e->tLastUpdate; e->stale = MAX( e->stale, negRun ); } if( !found ) { if( !freeList ) { freeList = (CvBGCodeBookElem*)cvMemStorageAlloc(model->storage, nblocks*sizeof(*freeList)); for( i = 0; i < nblocks-1; i++ ) freeList[i].next = &freeList[i+1]; freeList[nblocks-1].next = 0; } e = freeList; freeList = freeList->next; e->learnMin[0] = l0; e->learnMax[0] = h0; e->learnMin[1] = l1; e->learnMax[1] = h1; e->learnMin[2] = l2; e->learnMax[2] = h2; e->boxMin[0] = e->boxMax[0] = p0; e->boxMin[1] = e->boxMax[1] = p1; e->boxMin[2] = e->boxMax[2] = p2; e->tLastUpdate = T; e->stale = 0; e->next = *cb; *cb = e; } } } model->freeList = freeList; __END__; } int cvBGCodeBookDiff( const CvBGCodeBookModel* model, const CvArr* _image, CvArr* _fgmask, CvRect roi ) { int maskCount = -1; CV_FUNCNAME( "cvBGCodeBookDiff" ); __BEGIN__; CvMat stub, *image = cvGetMat( _image, &stub ); CvMat mstub, *mask = cvGetMat( _fgmask, &mstub ); int x, y; uchar m0, m1, m2, M0, M1, M2; CV_ASSERT( model && CV_MAT_TYPE(image->type) == CV_8UC3 && image->cols == model->size.width && image->rows == model->size.height && CV_IS_MASK_ARR(mask) && CV_ARE_SIZES_EQ(image, mask) ); if( roi.x == 0 && roi.y == 0 && roi.width == 0 && roi.height == 0 ) { roi.width = image->cols; roi.height = image->rows; } else CV_ASSERT( (unsigned)roi.x < (unsigned)image->cols && (unsigned)roi.y < (unsigned)image->rows && roi.width >= 0 && roi.height >= 0 && roi.x + roi.width <= image->cols && roi.y + roi.height <= image->rows ); m0 = model->modMin[0]; M0 = model->modMax[0]; m1 = model->modMin[1]; M1 = model->modMax[1]; m2 = model->modMin[2]; M2 = model->modMax[2]; maskCount = roi.height*roi.width; for( y = 0; y < roi.height; y++ ) { const uchar* p = image->data.ptr + image->step*(y + roi.y) + roi.x*3; uchar* m = mask->data.ptr + mask->step*(y + roi.y) + roi.x; CvBGCodeBookElem** cb = model->cbmap + image->cols*(y + roi.y) + roi.x; for( x = 0; x < roi.width; x++, p += 3, cb++ ) { CvBGCodeBookElem *e; uchar p0 = p[0], p1 = p[1], p2 = p[2]; int l0 = p0 + m0, l1 = p1 + m1, l2 = p2 + m2; int h0 = p0 - M0, h1 = p1 - M1, h2 = p2 - M2; m[x] = (uchar)255; for( e = *cb; e != 0; e = e->next ) { if( e->boxMin[0] <= l0 && h0 <= e->boxMax[0] && e->boxMin[1] <= l1 && h1 <= e->boxMax[1] && e->boxMin[2] <= l2 && h2 <= e->boxMax[2] ) { m[x] = 0; maskCount--; break; } } } } __END__; return maskCount; } void cvBGCodeBookClearStale( CvBGCodeBookModel* model, int staleThresh, CvRect roi, const CvArr* _mask ) { CV_FUNCNAME( "cvBGCodeBookClearStale" ); __BEGIN__; CvMat mstub, *mask = _mask ? cvGetMat( _mask, &mstub ) : 0; int x, y, T; CvBGCodeBookElem* freeList; CV_ASSERT( model && (!mask || CV_IS_MASK_ARR(mask) && mask->cols == model->size.width && mask->rows == model->size.height) ); if( roi.x == 0 && roi.y == 0 && roi.width == 0 && roi.height == 0 ) { roi.width = model->size.width; roi.height = model->size.height; } else CV_ASSERT( (unsigned)roi.x < (unsigned)mask->cols && (unsigned)roi.y < (unsigned)mask->rows && roi.width >= 0 && roi.height >= 0 && roi.x + roi.width <= mask->cols && roi.y + roi.height <= mask->rows ); icvInitSatTab(); freeList = model->freeList; T = model->t; for( y = 0; y < roi.height; y++ ) { const uchar* m = mask ? mask->data.ptr + mask->step*(y + roi.y) + roi.x : 0; CvBGCodeBookElem** cb = model->cbmap + model->size.width*(y + roi.y) + roi.x; for( x = 0; x < roi.width; x++, cb++ ) { CvBGCodeBookElem *e, first, *prev = &first; if( m && m[x] == 0 ) continue; for( first.next = e = *cb; e != 0; e = prev->next ) { if( e->stale > staleThresh ) { prev->next = e->next; e->next = freeList; freeList = e; } else { e->stale = 0; e->tLastUpdate = T; prev = e; } } *cb = first.next; } } model->freeList = freeList; __END__; } /* End of file. */