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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*/
+
+
+#ifndef __OPENCV_VIDEOSURVEILLANCE_H__
+#define __OPENCV_VIDEOSURVEILLANCE_H__
+
+/* Turn off the functionality until cvaux/src/Makefile.am gets updated: */
+//#if _MSC_VER >= 1200
+
+#include "opencv2/core/core_c.h"
+#include <stdio.h>
+
+#if (defined _MSC_VER && _MSC_VER >= 1200) || defined __BORLANDC__
+#define cv_stricmp stricmp
+#define cv_strnicmp strnicmp
+#if defined WINCE
+#define strdup _strdup
+#define stricmp _stricmp
+#endif
+#elif defined __GNUC__ || defined __sun
+#define cv_stricmp strcasecmp
+#define cv_strnicmp strncasecmp
+#else
+#error Do not know how to make case-insensitive string comparison on this platform
+#endif
+
+//struct DefParam;
+struct CvDefParam
+{
+ struct CvDefParam* next;
+ char* pName;
+ char* pComment;
+ double* pDouble;
+ double Double;
+ float* pFloat;
+ float Float;
+ int* pInt;
+ int Int;
+ char** pStr;
+ char* Str;
+};
+
+class CV_EXPORTS CvVSModule
+{
+private: /* Internal data: */
+ CvDefParam* m_pParamList;
+ char* m_pModuleTypeName;
+ char* m_pModuleName;
+ char* m_pNickName;
+protected:
+ int m_Wnd;
+public: /* Constructor and destructor: */
+ CvVSModule();
+ virtual ~CvVSModule();
+private: /* Internal functions: */
+ void FreeParam(CvDefParam** pp);
+ CvDefParam* NewParam(const char* name);
+ CvDefParam* GetParamPtr(int index);
+ CvDefParam* GetParamPtr(const char* name);
+protected: /* INTERNAL INTERFACE */
+ int IsParam(const char* name);
+ void AddParam(const char* name, double* pAddr);
+ void AddParam(const char* name, float* pAddr);
+ void AddParam(const char* name, int* pAddr);
+ void AddParam(const char* name, const char** pAddr);
+ void AddParam(const char* name);
+ void CommentParam(const char* name, const char* pComment);
+ void SetTypeName(const char* name);
+ void SetModuleName(const char* name);
+ void DelParam(const char* name);
+
+public: /* EXTERNAL INTERFACE */
+ const char* GetParamName(int index);
+ const char* GetParamComment(const char* name);
+ double GetParam(const char* name);
+ const char* GetParamStr(const char* name);
+ void SetParam(const char* name, double val);
+ void SetParamStr(const char* name, const char* str);
+ void TransferParamsFromChild(CvVSModule* pM, const char* prefix = NULL);
+ void TransferParamsToChild(CvVSModule* pM, char* prefix = NULL);
+ virtual void ParamUpdate();
+ const char* GetTypeName();
+ int IsModuleTypeName(const char* name);
+ char* GetModuleName();
+ int IsModuleName(const char* name);
+ void SetNickName(const char* pStr);
+ const char* GetNickName();
+ virtual void SaveState(CvFileStorage*);
+ virtual void LoadState(CvFileStorage*, CvFileNode*);
+
+ virtual void Release() = 0;
+};/* CvVMModule */
+
+CV_EXPORTS void cvWriteStruct(CvFileStorage* fs, const char* name, void* addr, const char* desc, int num=1);
+CV_EXPORTS void cvReadStructByName(CvFileStorage* fs, CvFileNode* node, const char* name, void* addr, const char* desc);
+
+/* FOREGROUND DETECTOR INTERFACE */
+class CV_EXPORTS CvFGDetector : public CvVSModule
+{
+public:
+ CvFGDetector();
+ virtual IplImage* GetMask() = 0;
+ /* Process current image: */
+ virtual void Process(IplImage* pImg) = 0;
+ /* Release foreground detector: */
+ virtual void Release() = 0;
+};
+
+CV_EXPORTS void cvReleaseFGDetector(CvFGDetector** ppT );
+CV_EXPORTS CvFGDetector* cvCreateFGDetectorBase(int type, void *param);
+
+
+/* BLOB STRUCTURE*/
+struct CvBlob
+{
+ float x,y; /* blob position */
+ float w,h; /* blob sizes */
+ int ID; /* blob ID */
+};
+
+inline CvBlob cvBlob(float x,float y, float w, float h)
+{
+ CvBlob B = {x,y,w,h,0};
+ return B;
+}
+#define CV_BLOB_MINW 5
+#define CV_BLOB_MINH 5
+#define CV_BLOB_ID(pB) (((CvBlob*)(pB))->ID)
+#define CV_BLOB_CENTER(pB) cvPoint2D32f(((CvBlob*)(pB))->x,((CvBlob*)(pB))->y)
+#define CV_BLOB_X(pB) (((CvBlob*)(pB))->x)
+#define CV_BLOB_Y(pB) (((CvBlob*)(pB))->y)
+#define CV_BLOB_WX(pB) (((CvBlob*)(pB))->w)
+#define CV_BLOB_WY(pB) (((CvBlob*)(pB))->h)
+#define CV_BLOB_RX(pB) (0.5f*CV_BLOB_WX(pB))
+#define CV_BLOB_RY(pB) (0.5f*CV_BLOB_WY(pB))
+#define CV_BLOB_RECT(pB) cvRect(cvRound(((CvBlob*)(pB))->x-CV_BLOB_RX(pB)),cvRound(((CvBlob*)(pB))->y-CV_BLOB_RY(pB)),cvRound(CV_BLOB_WX(pB)),cvRound(CV_BLOB_WY(pB)))
+/* END BLOB STRUCTURE*/
+
+
+/* simple BLOBLIST */
+class CV_EXPORTS CvBlobSeq
+{
+public:
+ CvBlobSeq(int BlobSize = sizeof(CvBlob))
+ {
+ m_pMem = cvCreateMemStorage();
+ m_pSeq = cvCreateSeq(0,sizeof(CvSeq),BlobSize,m_pMem);
+ strcpy(m_pElemFormat,"ffffi");
+ }
+ virtual ~CvBlobSeq()
+ {
+ cvReleaseMemStorage(&m_pMem);
+ };
+ virtual CvBlob* GetBlob(int BlobIndex)
+ {
+ return (CvBlob*)cvGetSeqElem(m_pSeq,BlobIndex);
+ };
+ virtual CvBlob* GetBlobByID(int BlobID)
+ {
+ int i;
+ for(i=0; i<m_pSeq->total; ++i)
+ if(BlobID == CV_BLOB_ID(GetBlob(i)))
+ return GetBlob(i);
+ return NULL;
+ };
+ virtual void DelBlob(int BlobIndex)
+ {
+ cvSeqRemove(m_pSeq,BlobIndex);
+ };
+ virtual void DelBlobByID(int BlobID)
+ {
+ int i;
+ for(i=0; i<m_pSeq->total; ++i)
+ {
+ if(BlobID == CV_BLOB_ID(GetBlob(i)))
+ {
+ DelBlob(i);
+ return;
+ }
+ }
+ };
+ virtual void Clear()
+ {
+ cvClearSeq(m_pSeq);
+ };
+ virtual void AddBlob(CvBlob* pB)
+ {
+ cvSeqPush(m_pSeq,pB);
+ };
+ virtual int GetBlobNum()
+ {
+ return m_pSeq->total;
+ };
+ virtual void Write(CvFileStorage* fs, const char* name)
+ {
+ const char* attr[] = {"dt",m_pElemFormat,NULL};
+ if(fs)
+ {
+ cvWrite(fs,name,m_pSeq,cvAttrList(attr,NULL));
+ }
+ }
+ virtual void Load(CvFileStorage* fs, CvFileNode* node)
+ {
+ if(fs==NULL) return;
+ CvSeq* pSeq = (CvSeq*)cvRead(fs, node);
+ if(pSeq)
+ {
+ int i;
+ cvClearSeq(m_pSeq);
+ for(i=0;i<pSeq->total;++i)
+ {
+ void* pB = cvGetSeqElem( pSeq, i );
+ cvSeqPush( m_pSeq, pB );
+ }
+ }
+ }
+ void AddFormat(const char* str){strcat(m_pElemFormat,str);}
+protected:
+ CvMemStorage* m_pMem;
+ CvSeq* m_pSeq;
+ char m_pElemFormat[1024];
+};
+/* simple BLOBLIST */
+
+
+/* simple TRACKLIST */
+struct CvBlobTrack
+{
+ int TrackID;
+ int StartFrame;
+ CvBlobSeq* pBlobSeq;
+};
+
+class CV_EXPORTS CvBlobTrackSeq
+{
+public:
+ CvBlobTrackSeq(int TrackSize = sizeof(CvBlobTrack));
+ virtual ~CvBlobTrackSeq();
+ virtual CvBlobTrack* GetBlobTrack(int TrackIndex);
+ virtual CvBlobTrack* GetBlobTrackByID(int TrackID);
+ virtual void DelBlobTrack(int TrackIndex);
+ virtual void DelBlobTrackByID(int TrackID);
+ virtual void Clear();
+ virtual void AddBlobTrack(int TrackID, int StartFrame = 0);
+ virtual int GetBlobTrackNum();
+protected:
+ CvMemStorage* m_pMem;
+ CvSeq* m_pSeq;
+};
+
+/* simple TRACKLIST */
+
+
+/* BLOB DETECTOR INTERFACE */
+class CV_EXPORTS CvBlobDetector: public CvVSModule
+{
+public:
+ CvBlobDetector(){SetTypeName("BlobDetector");};
+ /* Try to detect new blob entrance based on foreground mask. */
+ /* pFGMask - image of foreground mask */
+ /* pNewBlob - pointer to CvBlob structure which will be filled if new blob entrance detected */
+ /* pOldBlobList - pointer to blob list which already exist on image */
+ virtual int DetectNewBlob(IplImage* pImg, IplImage* pImgFG, CvBlobSeq* pNewBlobList, CvBlobSeq* pOldBlobList) = 0;
+ /* release blob detector */
+ virtual void Release()=0;
+};
+
+/* Release any blob detector: */
+CV_EXPORTS void cvReleaseBlobDetector(CvBlobDetector** ppBD);
+
+/* Declarations of constructors of implemented modules: */
+CV_EXPORTS CvBlobDetector* cvCreateBlobDetectorSimple();
+CV_EXPORTS CvBlobDetector* cvCreateBlobDetectorCC();
+
+struct CV_EXPORTS CvDetectedBlob : public CvBlob
+{
+ float response;
+};
+
+CV_INLINE CvDetectedBlob cvDetectedBlob( float x, float y, float w, float h, int ID = 0, float response = 0.0F )
+{
+ CvDetectedBlob b;
+ b.x = x; b.y = y; b.w = w; b.h = h; b.ID = ID; b.response = response;
+ return b;
+}
+
+
+class CV_EXPORTS CvObjectDetector
+{
+public:
+ CvObjectDetector( const char* /*detector_file_name*/ = 0 );
+ ~CvObjectDetector();
+
+ /*
+ * Release the current detector and load new detector from file
+ * (if detector_file_name is not 0)
+ * Return true on success:
+ */
+ bool Load( const char* /*detector_file_name*/ = 0 );
+
+ /* Return min detector window size: */
+ CvSize GetMinWindowSize() const;
+
+ /* Return max border: */
+ int GetMaxBorderSize() const;
+
+ /*
+ * Detect the object on the image and push the detected
+ * blobs into <detected_blob_seq> which must be the sequence of <CvDetectedBlob>s
+ */
+ void Detect( const CvArr* /*img*/, /* out */ CvBlobSeq* /*detected_blob_seq*/ = 0 );
+
+protected:
+ class CvObjectDetectorImpl* impl;
+};
+
+
+CV_INLINE CvRect cvRectIntersection( const CvRect r1, const CvRect r2 )
+{
+ CvRect r = cvRect( MAX(r1.x, r2.x), MAX(r1.y, r2.y), 0, 0 );
+
+ r.width = MIN(r1.x + r1.width, r2.x + r2.width) - r.x;
+ r.height = MIN(r1.y + r1.height, r2.y + r2.height) - r.y;
+
+ return r;
+}
+
+
+/*
+ * CvImageDrawer
+ *
+ * Draw on an image the specified ROIs from the source image and
+ * given blobs as ellipses or rectangles:
+ */
+
+struct CvDrawShape
+{
+ enum {RECT, ELLIPSE} shape;
+ CvScalar color;
+};
+
+/*extern const CvDrawShape icv_shape[] =
+{
+ { CvDrawShape::ELLIPSE, CV_RGB(255,0,0) },
+ { CvDrawShape::ELLIPSE, CV_RGB(0,255,0) },
+ { CvDrawShape::ELLIPSE, CV_RGB(0,0,255) },
+ { CvDrawShape::ELLIPSE, CV_RGB(255,255,0) },
+ { CvDrawShape::ELLIPSE, CV_RGB(0,255,255) },
+ { CvDrawShape::ELLIPSE, CV_RGB(255,0,255) }
+};*/
+
+class CV_EXPORTS CvImageDrawer
+{
+public:
+ CvImageDrawer() : m_image(0) {}
+ ~CvImageDrawer() { cvReleaseImage( &m_image ); }
+ void SetShapes( const CvDrawShape* shapes, int num );
+ /* <blob_seq> must be the sequence of <CvDetectedBlob>s */
+ IplImage* Draw( const CvArr* src, CvBlobSeq* blob_seq = 0, const CvSeq* roi_seq = 0 );
+ IplImage* GetImage() { return m_image; }
+protected:
+ //static const int MAX_SHAPES = sizeof(icv_shape) / sizeof(icv_shape[0]);;
+
+ IplImage* m_image;
+ CvDrawShape m_shape[16];
+};
+
+
+
+/* Trajectory generation module: */
+class CV_EXPORTS CvBlobTrackGen: public CvVSModule
+{
+public:
+ CvBlobTrackGen(){SetTypeName("BlobTrackGen");};
+ virtual void SetFileName(char* pFileName) = 0;
+ virtual void AddBlob(CvBlob* pBlob) = 0;
+ virtual void Process(IplImage* pImg = NULL, IplImage* pFG = NULL) = 0;
+ virtual void Release() = 0;
+};
+
+inline void cvReleaseBlobTrackGen(CvBlobTrackGen** pBTGen)
+{
+ if(*pBTGen)(*pBTGen)->Release();
+ *pBTGen = 0;
+}
+
+/* Declarations of constructors of implemented modules: */
+CV_EXPORTS CvBlobTrackGen* cvCreateModuleBlobTrackGen1();
+CV_EXPORTS CvBlobTrackGen* cvCreateModuleBlobTrackGenYML();
+
+
+
+/* BLOB TRACKER INTERFACE */
+class CV_EXPORTS CvBlobTracker: public CvVSModule
+{
+public:
+ CvBlobTracker();
+
+ /* Add new blob to track it and assign to this blob personal ID */
+ /* pBlob - pointer to structure with blob parameters (ID is ignored)*/
+ /* pImg - current image */
+ /* pImgFG - current foreground mask */
+ /* Return pointer to new added blob: */
+ virtual CvBlob* AddBlob(CvBlob* pBlob, IplImage* pImg, IplImage* pImgFG = NULL ) = 0;
+
+ /* Return number of currently tracked blobs: */
+ virtual int GetBlobNum() = 0;
+
+ /* Return pointer to specified by index blob: */
+ virtual CvBlob* GetBlob(int BlobIndex) = 0;
+
+ /* Delete blob by its index: */
+ virtual void DelBlob(int BlobIndex) = 0;
+
+ /* Process current image and track all existed blobs: */
+ virtual void Process(IplImage* pImg, IplImage* pImgFG = NULL) = 0;
+
+ /* Release blob tracker: */
+ virtual void Release() = 0;
+
+
+ /* Process one blob (for multi hypothesis tracing): */
+ virtual void ProcessBlob(int BlobIndex, CvBlob* pBlob, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
+
+ /* Get confidence/wieght/probability (0-1) for blob: */
+ virtual double GetConfidence(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
+
+ virtual double GetConfidenceList(CvBlobSeq* pBlobList, IplImage* pImg, IplImage* pImgFG = NULL);
+
+ virtual void UpdateBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
+
+ /* Update all blob models: */
+ virtual void Update(IplImage* pImg, IplImage* pImgFG = NULL);
+
+ /* Return pointer to blob by its unique ID: */
+ virtual int GetBlobIndexByID(int BlobID);
+
+ /* Return pointer to blob by its unique ID: */
+ virtual CvBlob* GetBlobByID(int BlobID);
+
+ /* Delete blob by its ID: */
+ virtual void DelBlobByID(int BlobID);
+
+ /* Set new parameters for specified (by index) blob: */
+ virtual void SetBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/);
+
+ /* Set new parameters for specified (by ID) blob: */
+ virtual void SetBlobByID(int BlobID, CvBlob* pBlob);
+
+ /* =============== MULTI HYPOTHESIS INTERFACE ================== */
+
+ /* Return number of position hyposetis of currently tracked blob: */
+ virtual int GetBlobHypNum(int /*BlobIdx*/);
+
+ /* Return pointer to specified blob hypothesis by index blob: */
+ virtual CvBlob* GetBlobHyp(int BlobIndex, int /*hypothesis*/);
+
+ /* Set new parameters for specified (by index) blob hyp
+ * (can be called several times for each hyp ):
+ */
+ virtual void SetBlobHyp(int /*BlobIndex*/, CvBlob* /*pBlob*/);
+};
+
+CV_EXPORTS void cvReleaseBlobTracker(CvBlobTracker**ppT );
+/* BLOB TRACKER INTERFACE */
+
+/*BLOB TRACKER ONE INTERFACE */
+class CV_EXPORTS CvBlobTrackerOne : public CvVSModule
+{
+public:
+ virtual void Init(CvBlob* pBlobInit, IplImage* pImg, IplImage* pImgFG = NULL) = 0;
+ virtual CvBlob* Process(CvBlob* pBlobPrev, IplImage* pImg, IplImage* pImgFG = NULL) = 0;
+ virtual void Release() = 0;
+
+ /* Non-required methods: */
+ virtual void SkipProcess(CvBlob* /*pBlobPrev*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL){};
+ virtual void Update(CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL){};
+ virtual void SetCollision(int /*CollisionFlag*/){}; /* call in case of blob collision situation*/
+ virtual double GetConfidence(CvBlob* /*pBlob*/, IplImage* /*pImg*/,
+ IplImage* /*pImgFG*/ = NULL, IplImage* /*pImgUnusedReg*/ = NULL)
+ {
+ return 1;
+ };
+};
+inline void cvReleaseBlobTrackerOne(CvBlobTrackerOne **ppT )
+{
+ ppT[0]->Release();
+ ppT[0] = 0;
+}
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerList(CvBlobTrackerOne* (*create)());
+/*BLOB TRACKER ONE INTERFACE */
+
+/* Declarations of constructors of implemented modules: */
+
+/* Some declarations for specific MeanShift tracker: */
+#define PROFILE_EPANECHNIKOV 0
+#define PROFILE_DOG 1
+struct CvBlobTrackerParamMS
+{
+ int noOfSigBits;
+ int appearance_profile;
+ int meanshift_profile;
+ float sigma;
+};
+
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS1(CvBlobTrackerParamMS* param);
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS2(CvBlobTrackerParamMS* param);
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS1ByList();
+
+/* Some declarations for specific Likelihood tracker: */
+struct CvBlobTrackerParamLH
+{
+ int HistType; /* see Prob.h */
+ int ScaleAfter;
+};
+
+/* Without scale optimization: */
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerLHR(CvBlobTrackerParamLH* /*param*/ = NULL);
+
+/* With scale optimization: */
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerLHRS(CvBlobTrackerParamLH* /*param*/ = NULL);
+
+/* Simple blob tracker based on connected component tracking: */
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerCC();
+
+/* Connected component tracking and mean-shift particle filter collion-resolver: */
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerCCMSPF();
+
+/* Blob tracker that integrates meanshift and connected components: */
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMSFG();
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMSFGS();
+
+/* Meanshift without connected-components */
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS();
+
+/* Particle filtering via Bhattacharya coefficient, which */
+/* is roughly the dot-product of two probability densities. */
+/* See: Real-Time Tracking of Non-Rigid Objects using Mean Shift */
+/* Comanicius, Ramesh, Meer, 2000, 8p */
+/* http://citeseer.ist.psu.edu/321441.html */
+CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMSPF();
+
+/* =========== tracker integrators trackers =============*/
+
+/* Integrator based on Particle Filtering method: */
+//CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIPF();
+
+/* Rule based integrator: */
+//CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIRB();
+
+/* Integrator based on data fusion using particle filtering: */
+//CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIPFDF();
+
+
+
+
+/* Trajectory postprocessing module: */
+class CV_EXPORTS CvBlobTrackPostProc: public CvVSModule
+{
+public:
+ CvBlobTrackPostProc(){SetTypeName("BlobTrackPostProc");};
+ virtual void AddBlob(CvBlob* pBlob) = 0;
+ virtual void Process() = 0;
+ virtual int GetBlobNum() = 0;
+ virtual CvBlob* GetBlob(int index) = 0;
+ virtual void Release() = 0;
+
+ /* Additional functionality: */
+ virtual CvBlob* GetBlobByID(int BlobID)
+ {
+ int i;
+ for(i=GetBlobNum();i>0;i--)
+ {
+ CvBlob* pB=GetBlob(i-1);
+ if(pB->ID==BlobID) return pB;
+ }
+ return NULL;
+ };
+};
+
+inline void cvReleaseBlobTrackPostProc(CvBlobTrackPostProc** pBTPP)
+{
+ if(pBTPP == NULL) return;
+ if(*pBTPP)(*pBTPP)->Release();
+ *pBTPP = 0;
+}
+
+/* Trajectory generation module: */
+class CV_EXPORTS CvBlobTrackPostProcOne: public CvVSModule
+{
+public:
+ CvBlobTrackPostProcOne(){SetTypeName("BlobTrackPostOne");};
+ virtual CvBlob* Process(CvBlob* pBlob) = 0;
+ virtual void Release() = 0;
+};
+
+/* Create blob tracking post processing module based on simle module: */
+CV_EXPORTS CvBlobTrackPostProc* cvCreateBlobTrackPostProcList(CvBlobTrackPostProcOne* (*create)());
+
+
+/* Declarations of constructors of implemented modules: */
+CV_EXPORTS CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcKalman();
+CV_EXPORTS CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverRect();
+CV_EXPORTS CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverExp();
+
+
+/* PREDICTORS */
+/* blob PREDICTOR */
+class CvBlobTrackPredictor: public CvVSModule
+{
+public:
+ CvBlobTrackPredictor(){SetTypeName("BlobTrackPredictor");};
+ virtual CvBlob* Predict() = 0;
+ virtual void Update(CvBlob* pBlob) = 0;
+ virtual void Release() = 0;
+};
+CV_EXPORTS CvBlobTrackPredictor* cvCreateModuleBlobTrackPredictKalman();
+
+
+
+/* Trajectory analyser module: */
+class CV_EXPORTS CvBlobTrackAnalysis: public CvVSModule
+{
+public:
+ CvBlobTrackAnalysis(){SetTypeName("BlobTrackAnalysis");};
+ virtual void AddBlob(CvBlob* pBlob) = 0;
+ virtual void Process(IplImage* pImg, IplImage* pFG) = 0;
+ virtual float GetState(int BlobID) = 0;
+ /* return 0 if trajectory is normal
+ return >0 if trajectory abnormal */
+ virtual const char* GetStateDesc(int /*BlobID*/){return NULL;};
+ virtual void SetFileName(char* /*DataBaseName*/){};
+ virtual void Release() = 0;
+};
+
+
+inline void cvReleaseBlobTrackAnalysis(CvBlobTrackAnalysis** pBTPP)
+{
+ if(pBTPP == NULL) return;
+ if(*pBTPP)(*pBTPP)->Release();
+ *pBTPP = 0;
+}
+
+/* Feature-vector generation module: */
+class CV_EXPORTS CvBlobTrackFVGen : public CvVSModule
+{
+public:
+ CvBlobTrackFVGen(){SetTypeName("BlobTrackFVGen");};
+ virtual void AddBlob(CvBlob* pBlob) = 0;
+ virtual void Process(IplImage* pImg, IplImage* pFG) = 0;
+ virtual void Release() = 0;
+ virtual int GetFVSize() = 0;
+ virtual int GetFVNum() = 0;
+ virtual float* GetFV(int index, int* pFVID) = 0; /* Returns pointer to FV, if return 0 then FV not created */
+ virtual float* GetFVVar(){return NULL;}; /* Returns pointer to array of variation of values of FV, if returns 0 then FVVar does not exist. */
+ virtual float* GetFVMin() = 0; /* Returns pointer to array of minimal values of FV, if returns 0 then FVrange does not exist */
+ virtual float* GetFVMax() = 0; /* Returns pointer to array of maximal values of FV, if returns 0 then FVrange does not exist */
+};
+
+
+/* Trajectory Analyser module: */
+class CV_EXPORTS CvBlobTrackAnalysisOne
+{
+public:
+ virtual ~CvBlobTrackAnalysisOne() {};
+ virtual int Process(CvBlob* pBlob, IplImage* pImg, IplImage* pFG) = 0;
+ /* return 0 if trajectory is normal
+ return >0 if trajectory abnormal */
+ virtual void Release() = 0;
+};
+
+/* Create blob tracking post processing module based on simle module: */
+CV_EXPORTS CvBlobTrackAnalysis* cvCreateBlobTrackAnalysisList(CvBlobTrackAnalysisOne* (*create)());
+
+/* Declarations of constructors of implemented modules: */
+
+/* Based on histogram analysis of 2D FV (x,y): */
+CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistP();
+
+/* Based on histogram analysis of 4D FV (x,y,vx,vy): */
+CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistPV();
+
+/* Based on histogram analysis of 5D FV (x,y,vx,vy,state): */
+CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistPVS();
+
+/* Based on histogram analysis of 4D FV (startpos,stoppos): */
+CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistSS();
+
+
+
+/* Based on SVM classifier analysis of 2D FV (x,y): */
+//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMP();
+
+/* Based on SVM classifier analysis of 4D FV (x,y,vx,vy): */
+//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMPV();
+
+/* Based on SVM classifier analysis of 5D FV (x,y,vx,vy,state): */
+//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMPVS();
+
+/* Based on SVM classifier analysis of 4D FV (startpos,stoppos): */
+//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMSS();
+
+/* Track analysis based on distance between tracks: */
+CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisTrackDist();
+
+/* Analyzer based on reation Road and height map: */
+//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysis3DRoadMap();
+
+/* Analyzer that makes OR decision using set of analyzers: */
+CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisIOR();
+
+/* Estimator of human height: */
+class CV_EXPORTS CvBlobTrackAnalysisHeight: public CvBlobTrackAnalysis
+{
+public:
+ virtual double GetHeight(CvBlob* pB) = 0;
+};
+//CV_EXPORTS CvBlobTrackAnalysisHeight* cvCreateModuleBlobTrackAnalysisHeightScale();
+
+
+
+/* AUTO BLOB TRACKER INTERFACE -- pipeline of 3 modules: */
+class CV_EXPORTS CvBlobTrackerAuto: public CvVSModule
+{
+public:
+ CvBlobTrackerAuto(){SetTypeName("BlobTrackerAuto");};
+ virtual void Process(IplImage* pImg, IplImage* pMask = NULL) = 0;
+ virtual CvBlob* GetBlob(int index) = 0;
+ virtual CvBlob* GetBlobByID(int ID) = 0;
+ virtual int GetBlobNum() = 0;
+ virtual IplImage* GetFGMask(){return NULL;};
+ virtual float GetState(int BlobID) = 0;
+ virtual const char* GetStateDesc(int BlobID) = 0;
+ /* return 0 if trajectory is normal;
+ * return >0 if trajectory abnormal. */
+ virtual void Release() = 0;
+};
+inline void cvReleaseBlobTrackerAuto(CvBlobTrackerAuto** ppT)
+{
+ ppT[0]->Release();
+ ppT[0] = 0;
+}
+/* END AUTO BLOB TRACKER INTERFACE */
+
+
+/* Constructor functions and data for specific BlobTRackerAuto modules: */
+
+/* Parameters of blobtracker auto ver1: */
+struct CvBlobTrackerAutoParam1
+{
+ int FGTrainFrames; /* Number of frames needed for FG (foreground) detector to train. */
+
+ CvFGDetector* pFG; /* FGDetector module. If this field is NULL the Process FG mask is used. */
+
+ CvBlobDetector* pBD; /* Selected blob detector module. */
+ /* If this field is NULL default blobdetector module will be created. */
+
+ CvBlobTracker* pBT; /* Selected blob tracking module. */
+ /* If this field is NULL default blobtracker module will be created. */
+
+ CvBlobTrackGen* pBTGen; /* Selected blob trajectory generator. */
+ /* If this field is NULL no generator is used. */
+
+ CvBlobTrackPostProc* pBTPP; /* Selected blob trajectory postprocessing module. */
+ /* If this field is NULL no postprocessing is done. */
+
+ int UsePPData;
+
+ CvBlobTrackAnalysis* pBTA; /* Selected blob trajectory analysis module. */
+ /* If this field is NULL no track analysis is done. */
+};
+
+/* Create blob tracker auto ver1: */
+CV_EXPORTS CvBlobTrackerAuto* cvCreateBlobTrackerAuto1(CvBlobTrackerAutoParam1* param = NULL);
+
+/* Simple loader for many auto trackers by its type : */
+inline CvBlobTrackerAuto* cvCreateBlobTrackerAuto(int type, void* param)
+{
+ if(type == 0) return cvCreateBlobTrackerAuto1((CvBlobTrackerAutoParam1*)param);
+ return 0;
+}
+
+
+
+struct CvTracksTimePos
+{
+ int len1,len2;
+ int beg1,beg2;
+ int end1,end2;
+ int comLen; //common length for two tracks
+ int shift1,shift2;
+};
+
+/*CV_EXPORTS int cvCompareTracks( CvBlobTrackSeq *groundTruth,
+ CvBlobTrackSeq *result,
+ FILE *file);*/
+
+
+/* Constructor functions: */
+
+CV_EXPORTS void cvCreateTracks_One(CvBlobTrackSeq *TS);
+CV_EXPORTS void cvCreateTracks_Same(CvBlobTrackSeq *TS1, CvBlobTrackSeq *TS2);
+CV_EXPORTS void cvCreateTracks_AreaErr(CvBlobTrackSeq *TS1, CvBlobTrackSeq *TS2, int addW, int addH);
+
+
+/* HIST API */
+class CV_EXPORTS CvProb
+{
+public:
+ virtual ~CvProb() {};
+
+ /* Calculate probability value: */
+ virtual double Value(int* /*comp*/, int /*x*/ = 0, int /*y*/ = 0){return -1;};
+
+ /* Update histograpp Pnew = (1-W)*Pold + W*Padd*/
+ /* W weight of new added prob */
+ /* comps - matrix of new fetature vectors used to update prob */
+ virtual void AddFeature(float W, int* comps, int x =0, int y = 0) = 0;
+ virtual void Scale(float factor = 0, int x = -1, int y = -1) = 0;
+ virtual void Release() = 0;
+};
+inline void cvReleaseProb(CvProb** ppProb){ppProb[0]->Release();ppProb[0]=NULL;}
+/* HIST API */
+
+/* Some Prob: */
+CV_EXPORTS CvProb* cvCreateProbS(int dim, CvSize size, int sample_num);
+CV_EXPORTS CvProb* cvCreateProbMG(int dim, CvSize size, int sample_num);
+CV_EXPORTS CvProb* cvCreateProbMG2(int dim, CvSize size, int sample_num);
+CV_EXPORTS CvProb* cvCreateProbHist(int dim, CvSize size);
+
+#define CV_BT_HIST_TYPE_S 0
+#define CV_BT_HIST_TYPE_MG 1
+#define CV_BT_HIST_TYPE_MG2 2
+#define CV_BT_HIST_TYPE_H 3
+inline CvProb* cvCreateProb(int type, int dim, CvSize size = cvSize(1,1), void* /*param*/ = NULL)
+{
+ if(type == CV_BT_HIST_TYPE_S) return cvCreateProbS(dim, size, -1);
+ if(type == CV_BT_HIST_TYPE_MG) return cvCreateProbMG(dim, size, -1);
+ if(type == CV_BT_HIST_TYPE_MG2) return cvCreateProbMG2(dim, size, -1);
+ if(type == CV_BT_HIST_TYPE_H) return cvCreateProbHist(dim, size);
+ return NULL;
+}
+
+
+
+/* Noise type definitions: */
+#define CV_NOISE_NONE 0
+#define CV_NOISE_GAUSSIAN 1
+#define CV_NOISE_UNIFORM 2
+#define CV_NOISE_SPECKLE 3
+#define CV_NOISE_SALT_AND_PEPPER 4
+
+/* Add some noise to image: */
+/* pImg - (input) image without noise */
+/* pImg - (output) image with noise */
+/* noise_type - type of added noise */
+/* CV_NOISE_GAUSSIAN - pImg += n , n - is gaussian noise with Ampl standart deviation */
+/* CV_NOISE_UNIFORM - pImg += n , n - is uniform noise with Ampl standart deviation */
+/* CV_NOISE_SPECKLE - pImg += n*pImg , n - is gaussian noise with Ampl standart deviation */
+/* CV_NOISE_SALT_AND_PAPPER - pImg = pImg with blacked and whited pixels,
+ Ampl is density of brocken pixels (0-there are not broken pixels, 1 - all pixels are broken)*/
+/* Ampl - "amplitude" of noise */
+//CV_EXPORTS void cvAddNoise(IplImage* pImg, int noise_type, double Ampl, CvRNG* rnd_state = NULL);
+
+/*================== GENERATOR OF TEST VIDEO SEQUENCE ===================== */
+typedef void CvTestSeq;
+
+/* pConfigfile - Name of file (yml or xml) with description of test sequence */
+/* videos - array of names of test videos described in "pConfigfile" file */
+/* numvideos - size of "videos" array */
+CV_EXPORTS CvTestSeq* cvCreateTestSeq(char* pConfigfile, char** videos, int numvideo, float Scale = 1, int noise_type = CV_NOISE_NONE, double noise_ampl = 0);
+CV_EXPORTS void cvReleaseTestSeq(CvTestSeq** ppTestSeq);
+
+/* Generate next frame from test video seq and return pointer to it: */
+CV_EXPORTS IplImage* cvTestSeqQueryFrame(CvTestSeq* pTestSeq);
+
+/* Return pointer to current foreground mask: */
+CV_EXPORTS IplImage* cvTestSeqGetFGMask(CvTestSeq* pTestSeq);
+
+/* Return pointer to current image: */
+CV_EXPORTS IplImage* cvTestSeqGetImage(CvTestSeq* pTestSeq);
+
+/* Return frame size of result test video: */
+CV_EXPORTS CvSize cvTestSeqGetImageSize(CvTestSeq* pTestSeq);
+
+/* Return number of frames result test video: */
+CV_EXPORTS int cvTestSeqFrameNum(CvTestSeq* pTestSeq);
+
+/* Return number of existing objects.
+ * This is general number of any objects.
+ * For example number of trajectories may be equal or less than returned value:
+ */
+CV_EXPORTS int cvTestSeqGetObjectNum(CvTestSeq* pTestSeq);
+
+/* Return 0 if there is not position for current defined on current frame */
+/* Return 1 if there is object position and pPos was filled */
+CV_EXPORTS int cvTestSeqGetObjectPos(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pPos);
+CV_EXPORTS int cvTestSeqGetObjectSize(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pSize);
+
+/* Add noise to final image: */
+CV_EXPORTS void cvTestSeqAddNoise(CvTestSeq* pTestSeq, int noise_type = CV_NOISE_NONE, double noise_ampl = 0);
+
+/* Add Intensity variation: */
+CV_EXPORTS void cvTestSeqAddIntensityVariation(CvTestSeq* pTestSeq, float DI_per_frame, float MinI, float MaxI);
+CV_EXPORTS void cvTestSeqSetFrame(CvTestSeq* pTestSeq, int n);
+
+#endif
+
+/* End of file. */