2010-05-12 01:44:00 +08:00
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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typedef struct DefTrackPoint
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{
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float x,y,r,vx,vy,v;
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} DefTrackPoint;
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class DefTrackRec
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{
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private:
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int ID;
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public:
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DefTrackRec(int id = 0,int BlobSize = sizeof(DefTrackPoint))
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{
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ID = id;
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m_pMem = cvCreateMemStorage();
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m_pSeq = cvCreateSeq(0,sizeof(CvSeq),BlobSize,m_pMem);
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}
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~DefTrackRec()
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{
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cvReleaseMemStorage(&m_pMem);
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};
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inline DefTrackPoint* GetPoint(int PointIndex)
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{
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return (DefTrackPoint*)cvGetSeqElem(m_pSeq,PointIndex);
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};
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inline void DelPoint(int PointIndex)
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{
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cvSeqRemove(m_pSeq,PointIndex);
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};
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inline void Clear()
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{
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cvClearSeq(m_pSeq);
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};
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inline void AddPoint(float x, float y, float r)
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{
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2012-06-29 00:13:29 +08:00
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DefTrackPoint p = {x,y,r,0,0,0};
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2010-05-12 01:44:00 +08:00
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int Num = GetPointNum();
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if(Num > 0)
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{
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DefTrackPoint* pPrev = GetPoint(Num-1);
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float Alpha = 0.8f;
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float dx = x-pPrev->x;
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float dy = y-pPrev->y;
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p.vx = Alpha*dx+(1-Alpha)*pPrev->vx;
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p.vy = Alpha*dy+(1-Alpha)*pPrev->vy;
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p.v = Alpha*dx+(1-Alpha)*pPrev->v;
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}
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AddPoint(&p);
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}
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inline void AddPoint(DefTrackPoint* pB)
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{ /* Add point and recalculate last velocities: */
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int wnd=3;
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int Num;
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int i;
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cvSeqPush(m_pSeq,pB);
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Num = GetPointNum();
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for(i=MAX(0,Num-wnd-1); i<Num; ++i)
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{ /* Next updating point: */
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DefTrackPoint* p = GetPoint(i);
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int j0 = i - wnd;
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int j1 = i + wnd;
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if(j0<0) j0 = 0;
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if(j1>=Num)j1=Num-1;
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if(j1>j0)
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{
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float dt = (float)(j1-j0);
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DefTrackPoint* p0 = GetPoint(j0);
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DefTrackPoint* p1 = GetPoint(j1);
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p->vx = (p1->x - p0->x) / dt;
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p->vy = (p1->y - p0->y) / dt;
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p->v = (float)sqrt(p->vx*p->vx+p->vy*p->vy);
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}
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} /* Next updating point. */
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#if 0
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if(0)
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{ /* Debug: */
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int i;
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printf("Blob %d: ",ID);
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for(i=0; i<GetPointNum(); ++i)
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{
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DefTrackPoint* p = GetPoint(i);
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printf(",(%.2f,%.2f,%f.2)",p->vx,p->vy,p->v);
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}
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printf("\n");
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}
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#endif
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};
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inline int GetPointNum()
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{
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return m_pSeq->total;
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};
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private:
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CvMemStorage* m_pMem;
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CvSeq* m_pSeq;
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};
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/* Fill array pIdxPairs by pair of index of correspondent blobs. */
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/* Return number of pairs. */
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/* pIdxPairs must have size not less that 2*(pSeqNum+pSeqTNum) */
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/* pTmp is pointer to memory which size is pSeqNum*pSeqTNum*16 */
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typedef struct DefMatch
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{
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int Idx; /* Previous best blob index. */
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int IdxT; /* Previous best template blob index. */
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double D; /* Blob to blob distance sum. */
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} DefMatch;
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static int cvTrackMatch(DefTrackRec* pSeq, int MaxLen, DefTrackRec* pSeqT, int* pIdxPairs, void* pTmp)
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{
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int NumPair = 0;
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DefMatch* pMT = (DefMatch*)pTmp;
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int Num = pSeq->GetPointNum();
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int NumT = pSeqT->GetPointNum();
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int i,it;
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int i0=0; /* Last point in the track sequence. */
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if(MaxLen > 0 && Num > MaxLen)
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{ /* Set new point seq len and new last point in this seq: */
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Num = MaxLen;
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i0 = pSeq->GetPointNum() - Num;
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}
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for(i=0; i<Num; ++i)
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{ /* For each point row: */
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for(it=0; it<NumT; ++it)
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{ /* For each point template column: */
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DefTrackPoint* pB = pSeq->GetPoint(i+i0);
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DefTrackPoint* pBT = pSeqT->GetPoint(it);
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DefMatch* pMT_cur = pMT + i*NumT + it;
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double dx = pB->x-pBT->x;
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double dy = pB->y-pBT->y;
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double D = dx*dx+dy*dy;
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int DI[3][2] = {{-1,-1},{-1,0},{0,-1}};
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int iDI;
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pMT_cur->D = D;
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pMT_cur->Idx = -1;
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pMT_cur->IdxT = 0;
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if(i==0) continue;
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for(iDI=0; iDI<3; ++iDI)
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{
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int i_prev = i+DI[iDI][0];
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int it_prev = it+DI[iDI][1];
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if(i_prev >= 0 && it_prev>=0)
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{
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double D_cur = D+pMT[NumT*i_prev+it_prev].D;
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if(pMT_cur->D > D_cur || (pMT_cur->Idx<0) )
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{ /* Set new best local way: */
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pMT_cur->D = D_cur;
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pMT_cur->Idx = i_prev;
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pMT_cur->IdxT = it_prev;
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}
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}
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} /* Check next direction. */
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} /* Fill next colum from table. */
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} /* Fill next row. */
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{ /* Back tracking. */
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/* Find best end in template: */
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int it_best = 0;
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DefMatch* pMT_best = pMT + (Num-1)*NumT;
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i = Num-1; /* set current i to last position */
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for(it=1; it<NumT; ++it)
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{
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DefMatch* pMT_new = pMT + it + i*NumT;
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if(pMT_best->D > pMT_new->D)
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{
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pMT_best->D = pMT_new->D;
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it_best = it;
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}
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} /* Find best end template point. */
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/* Back tracking whole sequence: */
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for(it = it_best;i>=0 && it>=0;)
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{
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DefMatch* pMT_new = pMT + it + i*NumT;
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pIdxPairs[2*NumPair] = i+i0;
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pIdxPairs[2*NumPair+1] = it;
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NumPair++;
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it = pMT_new->IdxT;
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i = pMT_new->Idx;
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}
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} /* End back tracing. */
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return NumPair;
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} /* cvTrackMatch. */
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typedef struct DefTrackForDist
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{
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CvBlob blob;
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DefTrackRec* pTrack;
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int LastFrame;
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float state;
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/* for debug */
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int close;
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} DefTrackForDist;
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class CvBlobTrackAnalysisTrackDist : public CvBlobTrackAnalysis
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{
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/*---------------- Internal functions: --------------------*/
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private:
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const char* m_pDebugAVIName; /* For debugging. */
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//CvVideoWriter* m_pDebugAVI; /* For debugging. */
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IplImage* m_pDebugImg; /* For debugging. */
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char m_DataFileName[1024];
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CvBlobSeq m_Tracks;
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CvBlobSeq m_TrackDataBase;
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int m_Frame;
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void* m_pTempData;
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int m_TempDataSize;
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int m_TraceLen;
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float m_AbnormalThreshold;
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float m_PosThreshold;
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float m_VelThreshold;
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inline void* ReallocTempData(int Size)
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{
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if(Size <= m_TempDataSize && m_pTempData) return m_pTempData;
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cvFree(&m_pTempData);
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m_TempDataSize = 0;
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m_pTempData = cvAlloc(Size);
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if(m_pTempData) m_TempDataSize = Size;
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return m_pTempData;
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} /* ReallocTempData. */
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public:
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CvBlobTrackAnalysisTrackDist():m_Tracks(sizeof(DefTrackForDist)),m_TrackDataBase(sizeof(DefTrackForDist))
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{
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m_pDebugImg = 0;
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//m_pDebugAVI = 0;
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m_Frame = 0;
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m_pTempData = NULL;
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m_TempDataSize = 0;
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m_pDebugAVIName = NULL;
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AddParam("DebugAVI",&m_pDebugAVIName);
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CommentParam("DebugAVI","Name of AVI file to save images from debug window");
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m_TraceLen = 50;
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AddParam("TraceLen",&m_TraceLen);
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CommentParam("TraceLen","Length (in frames) of trajectory part that is used for comparison");
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m_AbnormalThreshold = 0.02f;
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AddParam("AbnormalThreshold",&m_AbnormalThreshold);
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CommentParam("AbnormalThreshold","If trajectory is equal with less then <AbnormalThreshold*DataBaseTrackNum> tracks then trajectory is abnormal");
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m_PosThreshold = 1.25;
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AddParam("PosThreshold",&m_PosThreshold);
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CommentParam("PosThreshold","Minimal allowd distance in blob width that is allowed");
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m_VelThreshold = 0.5;
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AddParam("VelThreshold",&m_VelThreshold);
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CommentParam("VelThreshold","Minimal allowed relative difference between blob speed");
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SetModuleName("TrackDist");
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} /* Constructor. */
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~CvBlobTrackAnalysisTrackDist()
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{
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int i;
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for(i=m_Tracks.GetBlobNum(); i>0; --i)
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{
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DefTrackForDist* pF = (DefTrackForDist*)m_Tracks.GetBlob(i-1);
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delete pF->pTrack;
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}
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if(m_pDebugImg) cvReleaseImage(&m_pDebugImg);
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//if(m_pDebugAVI) cvReleaseVideoWriter(&m_pDebugAVI);
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} /* Destructor. */
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/*----------------- Interface: --------------------*/
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virtual void AddBlob(CvBlob* pBlob)
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{
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DefTrackForDist* pF = (DefTrackForDist*)m_Tracks.GetBlobByID(CV_BLOB_ID(pBlob));
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if(pF == NULL)
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{ /* Create new TRack record: */
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DefTrackForDist F;
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F.state = 0;
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F.blob = pBlob[0];
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F.LastFrame = m_Frame;
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F.pTrack = new DefTrackRec(CV_BLOB_ID(pBlob));
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m_Tracks.AddBlob((CvBlob*)&F);
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pF = (DefTrackForDist*)m_Tracks.GetBlobByID(CV_BLOB_ID(pBlob));
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}
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assert(pF);
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assert(pF->pTrack);
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pF->pTrack->AddPoint(pBlob->x,pBlob->y,pBlob->w*0.5f);
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pF->blob = pBlob[0];
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pF->LastFrame = m_Frame;
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};
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virtual void Process(IplImage* pImg, IplImage* /*pFG*/)
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{
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double MinTv = pImg->width/1440.0; /* minimal threshold for speed difference */
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double MinTv2 = MinTv*MinTv;
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|
2012-06-15 21:04:17 +08:00
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for(int i=m_Tracks.GetBlobNum(); i>0; --i)
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2010-05-12 01:44:00 +08:00
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{
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DefTrackForDist* pF = (DefTrackForDist*)m_Tracks.GetBlob(i-1);
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pF->state = 0;
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if(pF->LastFrame == m_Frame || pF->LastFrame+1 == m_Frame)
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{ /* Process one blob trajectory: */
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int NumEq = 0;
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int it;
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for(it=m_TrackDataBase.GetBlobNum(); it>0; --it)
|
|
|
|
{ /* Check template: */
|
|
|
|
DefTrackForDist* pFT = (DefTrackForDist*)m_TrackDataBase.GetBlob(it-1);
|
|
|
|
int Num = pF->pTrack->GetPointNum();
|
|
|
|
int NumT = pFT->pTrack->GetPointNum();
|
|
|
|
int* pPairIdx = (int*)ReallocTempData(sizeof(int)*2*(Num+NumT)+sizeof(DefMatch)*Num*NumT);
|
|
|
|
void* pTmpData = pPairIdx+2*(Num+NumT);
|
|
|
|
int PairNum = 0;
|
|
|
|
int k;
|
|
|
|
int Equal = 1;
|
|
|
|
int UseVel = 0;
|
|
|
|
int UsePos = 0;
|
|
|
|
|
|
|
|
if(i==it) continue;
|
|
|
|
|
|
|
|
/* Match track: */
|
|
|
|
PairNum = cvTrackMatch( pF->pTrack, m_TraceLen, pFT->pTrack, pPairIdx, pTmpData );
|
|
|
|
Equal = MAX(1,cvRound(PairNum*0.1));
|
|
|
|
|
|
|
|
UseVel = 3*pF->pTrack->GetPointNum() > m_TraceLen;
|
|
|
|
UsePos = 10*pF->pTrack->GetPointNum() > m_TraceLen;
|
|
|
|
|
|
|
|
{ /* Check continues: */
|
|
|
|
float D;
|
|
|
|
int DI = pPairIdx[0*2+0]-pPairIdx[(PairNum-1)*2+0];
|
|
|
|
int DIt = pPairIdx[0*2+1]-pPairIdx[(PairNum-1)*2+1];
|
|
|
|
if(UseVel && DI != 0)
|
|
|
|
{
|
|
|
|
D = (float)(DI-DIt)/(float)DI;
|
|
|
|
if(fabs(D)>m_VelThreshold)Equal=0;
|
|
|
|
if(fabs(D)>m_VelThreshold*0.5)Equal/=2;
|
|
|
|
}
|
|
|
|
} /* Check continues. */
|
|
|
|
|
|
|
|
for(k=0; Equal>0 && k<PairNum; ++k)
|
|
|
|
{ /* Compare with threshold: */
|
|
|
|
int j = pPairIdx[k*2+0];
|
|
|
|
int jt = pPairIdx[k*2+1];
|
|
|
|
DefTrackPoint* pB = pF->pTrack->GetPoint(j);
|
|
|
|
DefTrackPoint* pBT = pFT->pTrack->GetPoint(jt);
|
|
|
|
double dx = pB->x-pBT->x;
|
|
|
|
double dy = pB->y-pBT->y;
|
|
|
|
double dvx = pB->vx - pBT->vx;
|
|
|
|
double dvy = pB->vy - pBT->vy;
|
|
|
|
//double dv = pB->v - pBT->v;
|
|
|
|
double D = dx*dx+dy*dy;
|
|
|
|
double Td = pBT->r*m_PosThreshold;
|
|
|
|
double dv2 = dvx*dvx+dvy*dvy;
|
|
|
|
double Tv2 = (pBT->vx*pBT->vx+pBT->vy*pBT->vy)*m_VelThreshold*m_VelThreshold;
|
|
|
|
double Tvm = pBT->v*m_VelThreshold;
|
|
|
|
|
|
|
|
|
|
|
|
if(Tv2 < MinTv2) Tv2 = MinTv2;
|
|
|
|
if(Tvm < MinTv) Tvm = MinTv;
|
|
|
|
|
|
|
|
/* Check trajectory position: */
|
|
|
|
if(UsePos && D > Td*Td)
|
|
|
|
{
|
|
|
|
Equal--;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
/* Check trajectory velocity. */
|
|
|
|
/* Don't consider trajectory tail because its unstable for velocity computation. */
|
|
|
|
if(UseVel && j>5 && jt>5 && dv2 > Tv2 )
|
|
|
|
{
|
|
|
|
Equal--;
|
|
|
|
}
|
|
|
|
} /* Compare with threshold. */
|
|
|
|
|
|
|
|
if(Equal>0)
|
|
|
|
{
|
|
|
|
NumEq++;
|
|
|
|
pFT->close++;
|
|
|
|
}
|
|
|
|
} /* Next template. */
|
|
|
|
|
|
|
|
{ /* Calculate state: */
|
|
|
|
float T = m_TrackDataBase.GetBlobNum() * m_AbnormalThreshold; /* calc threshold */
|
|
|
|
|
|
|
|
if(T>0)
|
|
|
|
{
|
|
|
|
pF->state = (T - NumEq)/(T*0.2f) + 0.5f;
|
|
|
|
}
|
|
|
|
if(pF->state<0)pF->state=0;
|
|
|
|
if(pF->state>1)pF->state=1;
|
|
|
|
|
|
|
|
/*if(0)if(pF->state>0)
|
|
|
|
{// if abnormal blob
|
|
|
|
printf("Abnormal blob(%d) %d < %f, state=%f\n",CV_BLOB_ID(pF),NumEq,T, pF->state);
|
|
|
|
}*/
|
|
|
|
} /* Calculate state. */
|
|
|
|
} /* Process one blob trajectory. */
|
|
|
|
else
|
|
|
|
{ /* Move track to tracks data base: */
|
|
|
|
m_TrackDataBase.AddBlob((CvBlob*)pF);
|
|
|
|
m_Tracks.DelBlob(i-1);
|
|
|
|
}
|
|
|
|
} /* Next blob. */
|
|
|
|
|
|
|
|
|
|
|
|
if(m_Wnd)
|
|
|
|
{ /* Debug output: */
|
|
|
|
|
|
|
|
if(m_pDebugImg==NULL)
|
|
|
|
m_pDebugImg = cvCloneImage(pImg);
|
|
|
|
else
|
|
|
|
cvCopy(pImg, m_pDebugImg);
|
|
|
|
|
2012-06-15 21:04:17 +08:00
|
|
|
for(int i=m_TrackDataBase.GetBlobNum(); i>0; --i)
|
2010-05-12 01:44:00 +08:00
|
|
|
{ /* Draw all elements in track data base: */
|
|
|
|
int j;
|
|
|
|
DefTrackForDist* pF = (DefTrackForDist*)m_TrackDataBase.GetBlob(i-1);
|
|
|
|
CvScalar color = CV_RGB(0,0,0);
|
|
|
|
if(!pF->close) continue;
|
|
|
|
if(pF->close)
|
|
|
|
{
|
|
|
|
color = CV_RGB(0,0,255);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
color = CV_RGB(0,0,128);
|
|
|
|
}
|
|
|
|
|
|
|
|
for(j=pF->pTrack->GetPointNum(); j>0; j--)
|
|
|
|
{
|
|
|
|
DefTrackPoint* pB = pF->pTrack->GetPoint(j-1);
|
|
|
|
int r = 0;//MAX(cvRound(pB->r),1);
|
|
|
|
cvCircle(m_pDebugImg, cvPoint(cvRound(pB->x),cvRound(pB->y)), r, color);
|
|
|
|
}
|
|
|
|
pF->close = 0;
|
|
|
|
} /* Draw all elements in track data base. */
|
|
|
|
|
2012-06-15 21:04:17 +08:00
|
|
|
for(int i=m_Tracks.GetBlobNum(); i>0; --i)
|
2010-05-12 01:44:00 +08:00
|
|
|
{ /* Draw all elements for all trajectories: */
|
|
|
|
DefTrackForDist* pF = (DefTrackForDist*)m_Tracks.GetBlob(i-1);
|
|
|
|
int j;
|
|
|
|
int c = cvRound(pF->state*255);
|
|
|
|
CvScalar color = CV_RGB(c,255-c,0);
|
|
|
|
CvPoint p = cvPointFrom32f(CV_BLOB_CENTER(pF));
|
|
|
|
int x = cvRound(CV_BLOB_RX(pF)), y = cvRound(CV_BLOB_RY(pF));
|
|
|
|
CvSize s = cvSize(MAX(1,x), MAX(1,y));
|
|
|
|
|
|
|
|
cvEllipse( m_pDebugImg,
|
|
|
|
p,
|
|
|
|
s,
|
|
|
|
0, 0, 360,
|
|
|
|
CV_RGB(c,255-c,0), cvRound(1+(0*c)/255) );
|
|
|
|
|
|
|
|
for(j=pF->pTrack->GetPointNum(); j>0; j--)
|
|
|
|
{
|
|
|
|
DefTrackPoint* pB = pF->pTrack->GetPoint(j-1);
|
|
|
|
if(pF->pTrack->GetPointNum()-j > m_TraceLen) break;
|
|
|
|
cvCircle(m_pDebugImg, cvPoint(cvRound(pB->x),cvRound(pB->y)), 0, color);
|
|
|
|
}
|
|
|
|
pF->close = 0;
|
|
|
|
|
|
|
|
} /* Draw all elements for all trajectories. */
|
|
|
|
|
|
|
|
//cvNamedWindow("Tracks",0);
|
|
|
|
//cvShowImage("Tracks", m_pDebugImg);
|
|
|
|
} /* Debug output. */
|
|
|
|
|
|
|
|
#if 0
|
|
|
|
if(m_pDebugImg && m_pDebugAVIName)
|
|
|
|
{
|
|
|
|
if(m_pDebugAVI==NULL)
|
|
|
|
{ /* Create avi file for writing: */
|
|
|
|
m_pDebugAVI = cvCreateVideoWriter(
|
|
|
|
m_pDebugAVIName,
|
|
|
|
CV_FOURCC('x','v','i','d'),
|
|
|
|
25,
|
|
|
|
cvSize(m_pDebugImg->width,m_pDebugImg->height));
|
|
|
|
|
|
|
|
if(m_pDebugAVI == NULL)
|
|
|
|
{
|
|
|
|
printf("WARNING!!! Can not create AVI file %s for writing\n",m_pDebugAVIName);
|
|
|
|
}
|
|
|
|
} /* Create avi file for writing. */
|
|
|
|
|
|
|
|
if(m_pDebugAVI)cvWriteFrame( m_pDebugAVI, m_pDebugImg );
|
|
|
|
} /* Write debug window to AVI file. */
|
|
|
|
#endif
|
|
|
|
m_Frame++;
|
|
|
|
};
|
|
|
|
float GetState(int BlobID)
|
|
|
|
{
|
|
|
|
DefTrackForDist* pF = (DefTrackForDist*)m_Tracks.GetBlobByID(BlobID);
|
|
|
|
return pF?pF->state:0.0f;
|
|
|
|
};
|
|
|
|
|
|
|
|
/* Return 0 if trajectory is normal;
|
|
|
|
return >0 if trajectory abnormal. */
|
|
|
|
virtual const char* GetStateDesc(int BlobID)
|
|
|
|
{
|
|
|
|
if(GetState(BlobID)>0.5) return "abnormal";
|
|
|
|
return NULL;
|
|
|
|
}
|
|
|
|
|
|
|
|
virtual void SetFileName(char* DataBaseName)
|
|
|
|
{
|
2012-03-31 19:09:16 +08:00
|
|
|
m_DataFileName[0] = m_DataFileName[1000] = 0;
|
2010-05-12 01:44:00 +08:00
|
|
|
if(DataBaseName)
|
|
|
|
{
|
|
|
|
strncpy(m_DataFileName,DataBaseName,1000);
|
|
|
|
strcat(m_DataFileName, ".yml");
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
virtual void Release(){ delete this; };
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisTrackDist()
|
|
|
|
{return (CvBlobTrackAnalysis*) new CvBlobTrackAnalysisTrackDist;}
|