本文整理汇总了C++中CvBlobSeq::Clear方法的典型用法代码示例。如果您正苦于以下问题：C++ CvBlobSeq::Clear方法的具体用法？C++ CvBlobSeq::Clear怎么用？C++ CvBlobSeq::Clear使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类CvBlobSeq的用法示例。
在下文中一共展示了CvBlobSeq::Clear方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: DetectNewBlob
//.........这里部分代码省略.........
printf("%d,",m_pBlobLists[i]?m_pBlobLists[i]->GetBlobNum():0);
}
printf("]\n");
}
#endif
if(BestTrack >= 0)
{ /* Put new blob to output and delete from blob list: */
assert(m_TrackSeq[BestTrack].size == SEQ_SIZE);
assert(m_TrackSeq[BestTrack].pBlobs[0]);
pNewBlobList->AddBlob(m_TrackSeq[BestTrack].pBlobs[0]);
m_TrackSeq[BestTrack].pBlobs[0] = NULL;
m_TrackSeq[BestTrack].size--;
result = 1;
} /* Put new blob to output and mark in blob list to delete. */
} /* Analyze blod list to find best blob trajectory. */
{ /* Delete bad tracks: */
int i;
for(i=m_TrackNum-1; i>=0; --i)
{ /* Delete bad tracks: */
if(m_TrackSeq[i].pBlobs[0]) continue;
if(m_TrackNum>0)
m_TrackSeq[i] = m_TrackSeq[--m_TrackNum];
} /* Delete bad tracks: */
}
#ifdef USE_OBJECT_DETECTOR
if( m_split_detector && pNewBlobList->GetBlobNum() > 0 )
{
int num_new_blobs = pNewBlobList->GetBlobNum();
int i = 0;
if( m_roi_seq ) cvClearSeq( m_roi_seq );
m_debug_blob_seq.Clear();
for( i = 0; i < num_new_blobs; ++i )
{
CvBlob* b = pNewBlobList->GetBlob(i);
CvMat roi_stub;
CvMat* roi_mat = 0;
CvMat* scaled_roi_mat = 0;
CvDetectedBlob d_b = cvDetectedBlob( CV_BLOB_X(b), CV_BLOB_Y(b), CV_BLOB_WX(b), CV_BLOB_WY(b), 0 );
m_debug_blob_seq.AddBlob(&d_b);
float scale = m_param_roi_scale * m_min_window_size.height / CV_BLOB_WY(b);
float b_width = MAX(CV_BLOB_WX(b), m_min_window_size.width / scale)
+ (m_param_roi_scale - 1.0F) * (m_min_window_size.width / scale)
+ 2.0F * m_max_border / scale;
float b_height = CV_BLOB_WY(b) * m_param_roi_scale + 2.0F * m_max_border / scale;
CvRect roi = cvRectIntersection( cvRect( cvFloor(CV_BLOB_X(b) - 0.5F*b_width),
cvFloor(CV_BLOB_Y(b) - 0.5F*b_height),
cvCeil(b_width), cvCeil(b_height) ),
cvRect( 0, 0, pImg->width, pImg->height ) );
if( roi.width <= 0 || roi.height <= 0 )
continue;
if( m_roi_seq ) cvSeqPush( m_roi_seq, &roi );
roi_mat = cvGetSubRect( pImg, &roi_stub, roi );
scaled_roi_mat = cvCreateMat( cvCeil(scale*roi.height), cvCeil(scale*roi.width), CV_8UC3 );
cvResize( roi_mat, scaled_roi_mat );
m_detected_blob_seq.Clear();示例2: Process
virtual void Process(IplImage* pImg, IplImage* pImgFG = NULL)
{
CvSeq* cnts;
CvSeq* cnt;
int i;
//CvMat* pMC = NULL;
if(m_BlobList.GetBlobNum() <= 0 ) return;
/* Clear blob list for new blobs: */
m_BlobListNew.Clear();
assert(m_pMem);
cvClearMemStorage(m_pMem);
assert(pImgFG);
{ /* One contour - one blob: */
IplImage* pBin = cvCloneImage(pImgFG);
assert(pBin);
cvThreshold(pBin,pBin,128,255,CV_THRESH_BINARY);
cvFindContours(pBin, m_pMem, &cnts, sizeof(CvContour), CV_RETR_EXTERNAL);
/* Process each contour: */
for(cnt = cnts; cnt; cnt=cnt->h_next)
{
CvBlob NewBlob;
/* Image moments: */
double M00,X,Y,XX,YY;
CvMoments m;
CvRect r = ((CvContour*)cnt)->rect;
CvMat mat;
if(r.height < 3 || r.width < 3) continue;
cvMoments( cvGetSubRect(pImgFG,&mat,r), &m, 0 );
M00 = cvGetSpatialMoment( &m, 0, 0 );
if(M00 <= 0 ) continue;
X = cvGetSpatialMoment( &m, 1, 0 )/M00;
Y = cvGetSpatialMoment( &m, 0, 1 )/M00;
XX = (cvGetSpatialMoment( &m, 2, 0 )/M00) - X*X;
YY = (cvGetSpatialMoment( &m, 0, 2 )/M00) - Y*Y;
NewBlob = cvBlob(r.x+(float)X,r.y+(float)Y,(float)(4*sqrt(XX)),(float)(4*sqrt(YY)));
m_BlobListNew.AddBlob(&NewBlob);
} /* Next contour. */
cvReleaseImage(&pBin);
}
for(i=m_BlobList.GetBlobNum(); i>0; --i)
{ /* Predict new blob position. */
CvBlob* pB = NULL;
DefBlobTrackerCR* pBT = (DefBlobTrackerCR*)m_BlobList.GetBlob(i-1);
/* Update predictor. */
pBT->pPredictor->Update(&(pBT->blob));
pB = pBT->pPredictor->Predict();
if(pB)
{
pBT->BlobPredict = pB[0];
}
pBT->BlobPrev = pBT->blob;
} /* Predict new blob position. */
if(m_BlobList.GetBlobNum()>0 && m_BlobListNew.GetBlobNum()>0)
{ /* Resolve new blob to old: */
int i,j;
int NOld = m_BlobList.GetBlobNum();
int NNew = m_BlobListNew.GetBlobNum();
for(i=0; i<NOld; i++)
{ /* Set 0 collision and clear all hyp: */
DefBlobTrackerCR* pF = (DefBlobTrackerCR*)m_BlobList.GetBlob(i);
pF->Collision = 0;
pF->pBlobHyp->Clear();
} /* Set 0 collision. */
/* Create correspondence records: */
for(j=0; j<NNew; ++j)
{
CvBlob* pB1 = m_BlobListNew.GetBlob(j);
DefBlobTrackerCR* pFLast = NULL;
for(i=0; i<NOld; i++)
{ /* Check intersection: */
int Intersection = 0;
DefBlobTrackerCR* pF = (DefBlobTrackerCR*)m_BlobList.GetBlob(i);
CvBlob* pB2 = &(pF->BlobPredict);
if( fabs(pB1->x-pB2->x)<0.5*(pB1->w+pB2->w) &&
fabs(pB1->y-pB2->y)<0.5*(pB1->h+pB2->h) ) Intersection = 1;
if(Intersection)
{
if(pFLast)
{
pF->Collision = pFLast->Collision = 1;
}
pFLast = pF;
pF->pBlobHyp->AddBlob(pB1);
//.........这里部分代码省略.........
示例3: Process
virtual void Process(IplImage* pImg, IplImage* pImgFG = NULL)
{
CvSeq* cnts;
CvSeq* cnt;
int i;
m_pImg = pImg;
m_pImgFG = pImgFG;
if(m_BlobList.GetBlobNum() <= 0 ) return;
/* Clear bloblist for new blobs: */
m_BlobListNew.Clear();
assert(m_pMem);
cvClearMemStorage(m_pMem);
assert(pImgFG);
/* Find CC: */
#if 0
{ // By contour clustering:
cvFindBlobsByCCClasters(pImgFG, &m_BlobListNew, m_pMem);
}
#else
{ /* One contour - one blob: */
IplImage* pBin = cvCloneImage(pImgFG);
assert(pBin);
cvThreshold(pBin,pBin,128,255,CV_THRESH_BINARY);
cvFindContours(pBin, m_pMem, &cnts, sizeof(CvContour), CV_RETR_EXTERNAL);
/* Process each contour: */
for(cnt = cnts; cnt; cnt=cnt->h_next)
{
CvBlob NewBlob;
/* Image moments: */
double M00,X,Y,XX,YY;
CvMoments m;
CvRect r = ((CvContour*)cnt)->rect;
CvMat mat;
if(r.height < 3 || r.width < 3) continue;
cvMoments( cvGetSubRect(pImgFG,&mat,r), &m, 0 );
M00 = cvGetSpatialMoment( &m, 0, 0 );
if(M00 <= 0 ) continue;
X = cvGetSpatialMoment( &m, 1, 0 )/M00;
Y = cvGetSpatialMoment( &m, 0, 1 )/M00;
XX = (cvGetSpatialMoment( &m, 2, 0 )/M00) - X*X;
YY = (cvGetSpatialMoment( &m, 0, 2 )/M00) - Y*Y;
NewBlob = cvBlob(r.x+(float)X,r.y+(float)Y,(float)(4*sqrt(XX)),(float)(4*sqrt(YY)));
m_BlobListNew.AddBlob(&NewBlob);
} /* Next contour. */
cvReleaseImage(&pBin);
}
#endif
for(i=m_BlobList.GetBlobNum(); i>0; --i)
{ /* Predict new blob position: */
CvBlob* pB=NULL;
DefBlobTracker* pBT = (DefBlobTracker*)m_BlobList.GetBlob(i-1);
/* Update predictor by previous value of blob: */
pBT->pPredictor->Update(&(pBT->blob));
/* Predict current position: */
pB = pBT->pPredictor->Predict();
if(pB)
{
pBT->BlobPredict = pB[0];
}
else
{
pBT->BlobPredict = pBT->blob;
}
} /* Predict new blob position. */
if(m_Collision)
for(i=m_BlobList.GetBlobNum(); i>0; --i)
{ /* Predict collision. */
int Collision = 0;
int j;
DefBlobTracker* pF = (DefBlobTracker*)m_BlobList.GetBlob(i-1);
for(j=m_BlobList.GetBlobNum(); j>0; --j)
{ /* Predict collision: */
CvBlob* pB1;
CvBlob* pB2;
DefBlobTracker* pF2 = (DefBlobTracker*)m_BlobList.GetBlob(j-1);
if(i==j) continue;
pB1 = &pF->BlobPredict;
pB2 = &pF2->BlobPredict;
if( fabs(pB1->x-pB2->x)<0.6*(pB1->w+pB2->w) &&
fabs(pB1->y-pB2->y)<0.6*(pB1->h+pB2->h) ) Collision = 1;
pB1 = &pF->blob;
pB2 = &pF2->blob;
if( fabs(pB1->x-pB2->x)<0.6*(pB1->w+pB2->w) &&
//.........这里部分代码省略.........
示例4: Process
virtual void Process(IplImage* pImg, IplImage* pImgFG = NULL)
{//第一步：从前景里提取团块：位置+大小 ==》保存到m_BlobListNew链表里
//第二步：预测团块位置 更新到各自的BlobPredict里
//第三步：标记每个目标的碰撞
//已经跟踪的团块链表里， 相互匹配预测位置 和当前位置。如果重合了，就将Collision=1
//第四步： 对于每个目标， 用他可能的位置 和新的团块链表比较，
//求最近的一个 作为他新的可能位置。
CvSeq* cnts;
CvSeq* cnt;
int i;
m_pImg = pImg;
m_pImgFG = pImgFG;
if (m_BlobList.GetBlobNum() <= 0) return;
/* Clear bloblist for new blobs: */
m_BlobListNew.Clear();
assert(m_pMem);
cvClearMemStorage(m_pMem);
assert(pImgFG);
//第一步：从前景里提取团块：位置+大小 ==》保存到m_BlobListNew链表里
//第二步：预测团块位置 更新到各自的BlobPredict里
for (i = m_BlobList.GetBlobNum(); i>0; --i)
{ /* Predict new blob position: */
CvBlob* pB = NULL;
DefBlobTrackerColorTracker* pBT = (DefBlobTrackerColorTracker*)m_BlobList.GetBlob(i - 1);
/* Update predictor by previous value of blob: */
//更新上一帧的位置
pBT->pPredictor->Update(&(pBT->blob));
//预测下一帧位置
/* Predict current position: */
pB = pBT->pPredictor->Predict();
if (pB)
{
pBT->BlobPredict = pB[0];
}
else
{
pBT->BlobPredict = pBT->blob;
}
} /* Predict new blob position. */
//第三步：标记每个目标的碰撞
//已经跟踪的团块链表里， 相互匹配预测位置 和当前位置。如果重合了，就将Collision=1
if (m_Collision)//如果需要考虑碰撞
for (i = m_BlobList.GetBlobNum(); i>0; --i)
{ /* Predict collision. */
int Collision = 0;
int j;
DefBlobTrackerColorTracker* pF = (DefBlobTrackerColorTracker*)m_BlobList.GetBlob(i - 1);
for (j = m_BlobList.GetBlobNum(); j>0; --j)
{ /* Predict collision: */
CvBlob* pB1;
CvBlob* pB2;
DefBlobTrackerColorTracker* pF2 = (DefBlobTrackerColorTracker*)m_BlobList.GetBlob(j - 1);
if (i == j) continue;
pB1 = &pF->BlobPredict;
pB2 = &pF2->BlobPredict;
//两个团块预测位置是否碰撞了
if (fabs(pB1->x - pB2->x)<0.6*(pB1->w + pB2->w) &&
fabs(pB1->y - pB2->y)<0.6*(pB1->h + pB2->h)) Collision = 1;
pB1 = &pF->blob;
pB2 = &pF2->blob;
//当前位置是否碰撞了
if (fabs(pB1->x - pB2->x)<0.6*(pB1->w + pB2->w) &&
fabs(pB1->y - pB2->y)<0.6*(pB1->h + pB2->h)) Collision = 1;
if (Collision) break;
} /* Check next blob to cross current. */
pF->Collision = Collision;
} /* Predict collision. */
//第四步： 对于每个目标， 用他可能的位置 和新的团块链表比较，
//求最近的一个 作为他新的可能位置。
for (i = m_BlobList.GetBlobNum(); i>0; --i)
{ /* Find a neighbour on current frame
* for each blob from previous frame:
*/
CvBlob* pBl = m_BlobList.GetBlob(i - 1);
DefBlobTrackerColorTracker* pBT = (DefBlobTrackerColorTracker*)pBl;
//.........这里部分代码省略.........