blobtrackanalysisior.cpp

Program use openCV to demo edge detection (algorithm Gradient).

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#include "_cvaux.h"

/*======================= FILTER LIST SHELL =====================*/
#define MAX_ANS 16
#define MAX_DESC 1024
class CvBlobTrackAnalysisIOR : public CvBlobTrackAnalysis
{
protected:
    struct  DefAn
    {
        char*                   pName;
        CvBlobTrackAnalysis*    pAn;
    } m_Ans[MAX_ANS];
    int m_AnNum;
    char m_Desc[MAX_DESC];
public:
    CvBlobTrackAnalysisIOR()
    {
        m_AnNum = 0;
    }
    ~CvBlobTrackAnalysisIOR()
    {
    };
    virtual void    AddBlob(CvBlob* pBlob)
    {
        int i;
        for(i=0;i<m_AnNum;++i)
        {
            m_Ans[i].pAn->AddBlob(pBlob);
        }/* next analizer */
    };
    virtual void    Process(IplImage* pImg, IplImage* pFG)
    {
        int i;
#ifdef _OPENMP
#pragma omp parallel for
#endif
        for(i=0;i<m_AnNum;++i)
        {
            m_Ans[i].pAn->Process(pImg, pFG);
        }/* next analizer */
    };
    float GetState(int BlobID)
    {
        int state = 0;
        int i;
        for(i=0;i<m_AnNum;++i)
        {
            state |= (m_Ans[i].pAn->GetState(BlobID) > 0.5);
        }/* next analizer */
        return (float)state;
    };

    virtual char*   GetStateDesc(int BlobID)
    {
        int     rest = MAX_DESC-1;
        int     i;
        m_Desc[0] = 0;
        for(i=0;i<m_AnNum;++i)
        {
            char* str = m_Ans[i].pAn->GetStateDesc(BlobID);
            if(str && strlen(m_Ans[i].pName) + strlen(str)+4 < (size_t)rest)
            {
                strcat(m_Desc,m_Ans[i].pName);
                strcat(m_Desc,": ");
                strcat(m_Desc,str);
                strcat(m_Desc,"\n");
                rest = MAX_DESC - (int)strlen(m_Desc) - 1;
            }
        }/* next analizer */
        if(m_Desc[0]!=0)return m_Desc;
        return NULL;
    };
    virtual void SetFileName(char* /*DataBaseName*/)
    {
    };

    int AddAnalizer(CvBlobTrackAnalysis* pA, char* pName)
    {
        if(m_AnNum<MAX_ANS)
        {
            //int i;
            m_Ans[m_AnNum].pName = pName;
            m_Ans[m_AnNum].pAn = pA;
            TransferParamsFromChild(m_Ans[m_AnNum].pAn, pName);
            m_AnNum++;
            return 1;
        }
        else
        {
            printf("Can not add track analizer %s! (not more that %d analizers)\n",pName,MAX_ANS);
            return 0;
        }
    }
    void    Release()
    {
        int i;
        for(i=0;i<m_AnNum;++i)
        {
            m_Ans[i].pAn->Release();
        }/* next analizer */
        delete this;
    };
}; /* CvBlobTrackAnalysisIOR */

CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisIOR()
{
    CvBlobTrackAnalysisIOR* pIOR = new CvBlobTrackAnalysisIOR();
    CvBlobTrackAnalysis* pA = NULL;

    pA = cvCreateModuleBlobTrackAnalysisHistPVS();
    pIOR->AddAnalizer(pA, "HIST");

    //pA = (CvBlobTrackAnalysis*)cvCreateModuleBlobTrackAnalysisHeightScale();
    //pIOR->AddAnalizer(pA, "SCALE");

    return (CvBlobTrackAnalysis*)pIOR;
}/* cvCreateCvBlobTrackAnalysisIOR */
/* ======================== Analyser modules ============================= */