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blobtrack.hpp
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41 
42 
43 #ifndef __OPENCV_VIDEOSURVEILLANCE_H__
44 #define __OPENCV_VIDEOSURVEILLANCE_H__
45 
46 /* Turn off the functionality until cvaux/src/Makefile.am gets updated: */
47 //#if _MSC_VER >= 1200
48 
49 #include "opencv2/core/core_c.h"
50 #include <stdio.h>
51 
52 #if _MSC_VER >= 1200 || defined __BORLANDC__
53 #define cv_stricmp stricmp
54 #define cv_strnicmp strnicmp
55 #if defined WINCE
56 #define strdup _strdup
57 #define stricmp _stricmp
58 #endif
59 #elif defined __GNUC__
60 #define cv_stricmp strcasecmp
61 #define cv_strnicmp strncasecmp
62 #else
63 #error Do not know how to make case-insensitive string comparison on this platform
64 #endif
65 
66 //struct DefParam;
67 struct CvDefParam
68 {
69  struct CvDefParam* next;
70  char* pName;
71  char* pComment;
72  double* pDouble;
73  double Double;
74  float* pFloat;
75  float Float;
76  int* pInt;
77  int Int;
78  char** pStr;
79  char* Str;
80 };
81 
83 {
84 private: /* Internal data: */
85  CvDefParam* m_pParamList;
86  char* m_pModuleTypeName;
87  char* m_pModuleName;
88  char* m_pNickName;
89 protected:
90  int m_Wnd;
91 public: /* Constructor and destructor: */
92  CvVSModule();
93  virtual ~CvVSModule();
94 private: /* Internal functions: */
95  void FreeParam(CvDefParam** pp);
96  CvDefParam* NewParam(const char* name);
97  CvDefParam* GetParamPtr(int index);
98  CvDefParam* GetParamPtr(const char* name);
99 protected: /* INTERNAL INTERFACE */
100  int IsParam(const char* name);
101  void AddParam(const char* name, double* pAddr);
102  void AddParam(const char* name, float* pAddr);
103  void AddParam(const char* name, int* pAddr);
104  void AddParam(const char* name, const char** pAddr);
105  void AddParam(const char* name);
106  void CommentParam(const char* name, const char* pComment);
107  void SetTypeName(const char* name);
108  void SetModuleName(const char* name);
109  void DelParam(const char* name);
110 
111 public: /* EXTERNAL INTERFACE */
112  const char* GetParamName(int index);
113  const char* GetParamComment(const char* name);
114  double GetParam(const char* name);
115  const char* GetParamStr(const char* name);
116  void SetParam(const char* name, double val);
117  void SetParamStr(const char* name, const char* str);
118  void TransferParamsFromChild(CvVSModule* pM, const char* prefix = NULL);
119  void TransferParamsToChild(CvVSModule* pM, char* prefix = NULL);
120  virtual void ParamUpdate();
121  const char* GetTypeName();
122  int IsModuleTypeName(const char* name);
123  char* GetModuleName();
124  int IsModuleName(const char* name);
125  void SetNickName(const char* pStr);
126  const char* GetNickName();
127  virtual void SaveState(CvFileStorage*);
128  virtual void LoadState(CvFileStorage*, CvFileNode*);
129 
130  virtual void Release() = 0;
131 };/* CvVMModule */
132 
133 CV_EXPORTS void cvWriteStruct(CvFileStorage* fs, const char* name, void* addr, const char* desc, int num=1);
134 CV_EXPORTS void cvReadStructByName(CvFileStorage* fs, CvFileNode* node, const char* name, void* addr, const char* desc);
135 
136 /* FOREGROUND DETECTOR INTERFACE */
138 {
139 public:
140  CvFGDetector();
141  virtual IplImage* GetMask() = 0;
142  /* Process current image: */
143  virtual void Process(IplImage* pImg) = 0;
144  /* Release foreground detector: */
145  virtual void Release() = 0;
146 };
147 
150 
151 
152 /* BLOB STRUCTURE*/
153 struct CvBlob
154 {
155  float x,y; /* blob position */
156  float w,h; /* blob sizes */
157  int ID; /* blob ID */
158 };
159 
160 inline CvBlob cvBlob(float x,float y, float w, float h)
161 {
162  CvBlob B = {x,y,w,h,0};
163  return B;
164 }
165 #define CV_BLOB_MINW 5
166 #define CV_BLOB_MINH 5
167 #define CV_BLOB_ID(pB) (((CvBlob*)(pB))->ID)
168 #define CV_BLOB_CENTER(pB) cvPoint2D32f(((CvBlob*)(pB))->x,((CvBlob*)(pB))->y)
169 #define CV_BLOB_X(pB) (((CvBlob*)(pB))->x)
170 #define CV_BLOB_Y(pB) (((CvBlob*)(pB))->y)
171 #define CV_BLOB_WX(pB) (((CvBlob*)(pB))->w)
172 #define CV_BLOB_WY(pB) (((CvBlob*)(pB))->h)
173 #define CV_BLOB_RX(pB) (0.5f*CV_BLOB_WX(pB))
174 #define CV_BLOB_RY(pB) (0.5f*CV_BLOB_WY(pB))
175 #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)))
176 /* END BLOB STRUCTURE*/
177 
178 
179 /* simple BLOBLIST */
181 {
182 public:
183  CvBlobSeq(int BlobSize = sizeof(CvBlob))
184  {
185  m_pMem = cvCreateMemStorage();
186  m_pSeq = cvCreateSeq(0,sizeof(CvSeq),BlobSize,m_pMem);
187  strcpy(m_pElemFormat,"ffffi");
188  }
189  virtual ~CvBlobSeq()
190  {
191  cvReleaseMemStorage(&m_pMem);
192  };
193  virtual CvBlob* GetBlob(int BlobIndex)
194  {
195  return (CvBlob*)cvGetSeqElem(m_pSeq,BlobIndex);
196  };
197  virtual CvBlob* GetBlobByID(int BlobID)
198  {
199  int i;
200  for(i=0; i<m_pSeq->total; ++i)
201  if(BlobID == CV_BLOB_ID(GetBlob(i)))
202  return GetBlob(i);
203  return NULL;
204  };
205  virtual void DelBlob(int BlobIndex)
206  {
207  cvSeqRemove(m_pSeq,BlobIndex);
208  };
209  virtual void DelBlobByID(int BlobID)
210  {
211  int i;
212  for(i=0; i<m_pSeq->total; ++i)
213  {
214  if(BlobID == CV_BLOB_ID(GetBlob(i)))
215  {
216  DelBlob(i);
217  return;
218  }
219  }
220  };
221  virtual void Clear()
222  {
223  cvClearSeq(m_pSeq);
224  };
225  virtual void AddBlob(CvBlob* pB)
226  {
227  cvSeqPush(m_pSeq,pB);
228  };
229  virtual int GetBlobNum()
230  {
231  return m_pSeq->total;
232  };
233  virtual void Write(CvFileStorage* fs, const char* name)
234  {
235  const char* attr[] = {"dt",m_pElemFormat,NULL};
236  if(fs)
237  {
238  cvWrite(fs,name,m_pSeq,cvAttrList(attr,NULL));
239  }
240  }
241  virtual void Load(CvFileStorage* fs, CvFileNode* node)
242  {
243  if(fs==NULL) return;
244  CvSeq* pSeq = (CvSeq*)cvRead(fs, node);
245  if(pSeq)
246  {
247  int i;
248  cvClearSeq(m_pSeq);
249  for(i=0;i<pSeq->total;++i)
250  {
251  void* pB = cvGetSeqElem( pSeq, i );
252  cvSeqPush( m_pSeq, pB );
253  }
254  }
255  }
256  void AddFormat(const char* str){strcat(m_pElemFormat,str);}
257 protected:
260  char m_pElemFormat[1024];
261 };
262 /* simple BLOBLIST */
263 
264 
265 /* simple TRACKLIST */
267 {
268  int TrackID;
271 };
272 
274 {
275 public:
276  CvBlobTrackSeq(int TrackSize = sizeof(CvBlobTrack));
277  virtual ~CvBlobTrackSeq();
278  virtual CvBlobTrack* GetBlobTrack(int TrackIndex);
279  virtual CvBlobTrack* GetBlobTrackByID(int TrackID);
280  virtual void DelBlobTrack(int TrackIndex);
281  virtual void DelBlobTrackByID(int TrackID);
282  virtual void Clear();
283  virtual void AddBlobTrack(int TrackID, int StartFrame = 0);
284  virtual int GetBlobTrackNum();
285 protected:
288 };
289 
290 /* simple TRACKLIST */
291 
292 
293 /* BLOB DETECTOR INTERFACE */
295 {
296 public:
297  CvBlobDetector(){SetTypeName("BlobDetector");};
298  /* Try to detect new blob entrance based on foreground mask. */
299  /* pFGMask - image of foreground mask */
300  /* pNewBlob - pointer to CvBlob structure which will be filled if new blob entrance detected */
301  /* pOldBlobList - pointer to blob list which already exist on image */
302  virtual int DetectNewBlob(IplImage* pImg, IplImage* pImgFG, CvBlobSeq* pNewBlobList, CvBlobSeq* pOldBlobList) = 0;
303  /* release blob detector */
304  virtual void Release()=0;
305 };
306 
307 /* Release any blob detector: */
309 
310 /* Declarations of constructors of implemented modules: */
313 
315 {
316  float response;
317 };
318 
319 CV_INLINE CvDetectedBlob cvDetectedBlob( float x, float y, float w, float h, int ID = 0, float response = 0.0F )
320 {
321  CvDetectedBlob b;
322  b.x = x; b.y = y; b.w = w; b.h = h; b.ID = ID; b.response = response;
323  return b;
324 }
325 
326 
328 {
329 public:
330  CvObjectDetector( const char* /*detector_file_name*/ = 0 );
331  ~CvObjectDetector();
332 
333  /*
334  * Release the current detector and load new detector from file
335  * (if detector_file_name is not 0)
336  * Return true on success:
337  */
338  bool Load( const char* /*detector_file_name*/ = 0 );
339 
340  /* Return min detector window size: */
341  CvSize GetMinWindowSize() const;
342 
343  /* Return max border: */
344  int GetMaxBorderSize() const;
345 
346  /*
347  * Detect the object on the image and push the detected
348  * blobs into <detected_blob_seq> which must be the sequence of <CvDetectedBlob>s
349  */
350  void Detect( const CvArr* /*img*/, /* out */ CvBlobSeq* /*detected_blob_seq*/ = 0 );
351 
352 protected:
353  class CvObjectDetectorImpl* impl;
354 };
355 
356 
358 {
359  CvRect r = cvRect( MAX(r1.x, r2.x), MAX(r1.y, r2.y), 0, 0 );
360 
361  r.width = MIN(r1.x + r1.width, r2.x + r2.width) - r.x;
362  r.height = MIN(r1.y + r1.height, r2.y + r2.height) - r.y;
363 
364  return r;
365 }
366 
367 
368 /*
369  * CvImageDrawer
370  *
371  * Draw on an image the specified ROIs from the source image and
372  * given blobs as ellipses or rectangles:
373  */
374 
376 {
377  enum {RECT, ELLIPSE} shape;
379 };
380 
381 /*extern const CvDrawShape icv_shape[] =
382 {
383  { CvDrawShape::ELLIPSE, CV_RGB(255,0,0) },
384  { CvDrawShape::ELLIPSE, CV_RGB(0,255,0) },
385  { CvDrawShape::ELLIPSE, CV_RGB(0,0,255) },
386  { CvDrawShape::ELLIPSE, CV_RGB(255,255,0) },
387  { CvDrawShape::ELLIPSE, CV_RGB(0,255,255) },
388  { CvDrawShape::ELLIPSE, CV_RGB(255,0,255) }
389 };*/
390 
392 {
393 public:
394  CvImageDrawer() : m_image(0) {}
395  ~CvImageDrawer() { cvReleaseImage( &m_image ); }
396  void SetShapes( const CvDrawShape* shapes, int num );
397  /* <blob_seq> must be the sequence of <CvDetectedBlob>s */
398  IplImage* Draw( const CvArr* src, CvBlobSeq* blob_seq = 0, const CvSeq* roi_seq = 0 );
399  IplImage* GetImage() { return m_image; }
400 protected:
401  //static const int MAX_SHAPES = sizeof(icv_shape) / sizeof(icv_shape[0]);;
402 
404  CvDrawShape m_shape[16];
405 };
406 
407 
408 
409 /* Trajectory generation module: */
411 {
412 public:
413  CvBlobTrackGen(){SetTypeName("BlobTrackGen");};
414  virtual void SetFileName(char* pFileName) = 0;
415  virtual void AddBlob(CvBlob* pBlob) = 0;
416  virtual void Process(IplImage* pImg = NULL, IplImage* pFG = NULL) = 0;
417  virtual void Release() = 0;
418 };
419 
421 {
422  if(*pBTGen)(*pBTGen)->Release();
423  *pBTGen = 0;
424 }
425 
426 /* Declarations of constructors of implemented modules: */
429 
430 
431 
432 /* BLOB TRACKER INTERFACE */
434 {
435 public:
436  CvBlobTracker();
437 
438  /* Add new blob to track it and assign to this blob personal ID */
439  /* pBlob - pointer to structure with blob parameters (ID is ignored)*/
440  /* pImg - current image */
441  /* pImgFG - current foreground mask */
442  /* Return pointer to new added blob: */
443  virtual CvBlob* AddBlob(CvBlob* pBlob, IplImage* pImg, IplImage* pImgFG = NULL ) = 0;
444 
445  /* Return number of currently tracked blobs: */
446  virtual int GetBlobNum() = 0;
447 
448  /* Return pointer to specified by index blob: */
449  virtual CvBlob* GetBlob(int BlobIndex) = 0;
450 
451  /* Delete blob by its index: */
452  virtual void DelBlob(int BlobIndex) = 0;
453 
454  /* Process current image and track all existed blobs: */
455  virtual void Process(IplImage* pImg, IplImage* pImgFG = NULL) = 0;
456 
457  /* Release blob tracker: */
458  virtual void Release() = 0;
459 
460 
461  /* Process one blob (for multi hypothesis tracing): */
462  virtual void ProcessBlob(int BlobIndex, CvBlob* pBlob, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
463 
464  /* Get confidence/wieght/probability (0-1) for blob: */
465  virtual double GetConfidence(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
466 
467  virtual double GetConfidenceList(CvBlobSeq* pBlobList, IplImage* pImg, IplImage* pImgFG = NULL);
468 
469  virtual void UpdateBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
470 
471  /* Update all blob models: */
472  virtual void Update(IplImage* pImg, IplImage* pImgFG = NULL);
473 
474  /* Return pointer to blob by its unique ID: */
475  virtual int GetBlobIndexByID(int BlobID);
476 
477  /* Return pointer to blob by its unique ID: */
478  virtual CvBlob* GetBlobByID(int BlobID);
479 
480  /* Delete blob by its ID: */
481  virtual void DelBlobByID(int BlobID);
482 
483  /* Set new parameters for specified (by index) blob: */
484  virtual void SetBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/);
485 
486  /* Set new parameters for specified (by ID) blob: */
487  virtual void SetBlobByID(int BlobID, CvBlob* pBlob);
488 
489  /* =============== MULTI HYPOTHESIS INTERFACE ================== */
490 
491  /* Return number of position hyposetis of currently tracked blob: */
492  virtual int GetBlobHypNum(int /*BlobIdx*/);
493 
494  /* Return pointer to specified blob hypothesis by index blob: */
495  virtual CvBlob* GetBlobHyp(int BlobIndex, int /*hypothesis*/);
496 
497  /* Set new parameters for specified (by index) blob hyp
498  * (can be called several times for each hyp ):
499  */
500  virtual void SetBlobHyp(int /*BlobIndex*/, CvBlob* /*pBlob*/);
501 };
502 
504 /* BLOB TRACKER INTERFACE */
505 
506 /*BLOB TRACKER ONE INTERFACE */
508 {
509 public:
510  virtual void Init(CvBlob* pBlobInit, IplImage* pImg, IplImage* pImgFG = NULL) = 0;
511  virtual CvBlob* Process(CvBlob* pBlobPrev, IplImage* pImg, IplImage* pImgFG = NULL) = 0;
512  virtual void Release() = 0;
513 
514  /* Non-required methods: */
515  virtual void SkipProcess(CvBlob* /*pBlobPrev*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL){};
516  virtual void Update(CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL){};
517  virtual void SetCollision(int /*CollisionFlag*/){}; /* call in case of blob collision situation*/
518  virtual double GetConfidence(CvBlob* /*pBlob*/, IplImage* /*pImg*/,
519  IplImage* /*pImgFG*/ = NULL, IplImage* /*pImgUnusedReg*/ = NULL)
520  {
521  return 1;
522  };
523 };
525 {
526  ppT[0]->Release();
527  ppT[0] = 0;
528 }
530 /*BLOB TRACKER ONE INTERFACE */
531 
532 /* Declarations of constructors of implemented modules: */
533 
534 /* Some declarations for specific MeanShift tracker: */
535 #define PROFILE_EPANECHNIKOV 0
536 #define PROFILE_DOG 1
538 {
542  float sigma;
543 };
544 
548 
549 /* Some declarations for specific Likelihood tracker: */
551 {
552  int HistType; /* see Prob.h */
554 };
555 
556 /* Without scale optimization: */
558 
559 /* With scale optimization: */
561 
562 /* Simple blob tracker based on connected component tracking: */
564 
565 /* Connected component tracking and mean-shift particle filter collion-resolver: */
567 
568 /* Blob tracker that integrates meanshift and connected components: */
571 
572 /* Meanshift without connected-components */
574 
575 /* Particle filtering via Bhattacharya coefficient, which */
576 /* is roughly the dot-product of two probability densities. */
577 /* See: Real-Time Tracking of Non-Rigid Objects using Mean Shift */
578 /* Comanicius, Ramesh, Meer, 2000, 8p */
579 /* http://citeseer.ist.psu.edu/321441.html */
581 
582 /* =========== tracker integrators trackers =============*/
583 
584 /* Integrator based on Particle Filtering method: */
585 //CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIPF();
586 
587 /* Rule based integrator: */
588 //CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIRB();
589 
590 /* Integrator based on data fusion using particle filtering: */
591 //CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIPFDF();
592 
593 
594 
595 
596 /* Trajectory postprocessing module: */
598 {
599 public:
600  CvBlobTrackPostProc(){SetTypeName("BlobTrackPostProc");};
601  virtual void AddBlob(CvBlob* pBlob) = 0;
602  virtual void Process() = 0;
603  virtual int GetBlobNum() = 0;
604  virtual CvBlob* GetBlob(int index) = 0;
605  virtual void Release() = 0;
606 
607  /* Additional functionality: */
608  virtual CvBlob* GetBlobByID(int BlobID)
609  {
610  int i;
611  for(i=GetBlobNum();i>0;i--)
612  {
613  CvBlob* pB=GetBlob(i-1);
614  if(pB->ID==BlobID) return pB;
615  }
616  return NULL;
617  };
618 };
619 
621 {
622  if(pBTPP == NULL) return;
623  if(*pBTPP)(*pBTPP)->Release();
624  *pBTPP = 0;
625 }
626 
627 /* Trajectory generation module: */
629 {
630 public:
631  CvBlobTrackPostProcOne(){SetTypeName("BlobTrackPostOne");};
632  virtual CvBlob* Process(CvBlob* pBlob) = 0;
633  virtual void Release() = 0;
634 };
635 
636 /* Create blob tracking post processing module based on simle module: */
638 
639 
640 /* Declarations of constructors of implemented modules: */
644 
645 
646 /* PREDICTORS */
647 /* blob PREDICTOR */
649 {
650 public:
651  CvBlobTrackPredictor(){SetTypeName("BlobTrackPredictor");};
652  virtual CvBlob* Predict() = 0;
653  virtual void Update(CvBlob* pBlob) = 0;
654  virtual void Release() = 0;
655 };
657 
658 
659 
660 /* Trajectory analyser module: */
662 {
663 public:
664  CvBlobTrackAnalysis(){SetTypeName("BlobTrackAnalysis");};
665  virtual void AddBlob(CvBlob* pBlob) = 0;
666  virtual void Process(IplImage* pImg, IplImage* pFG) = 0;
667  virtual float GetState(int BlobID) = 0;
668  /* return 0 if trajectory is normal
669  return >0 if trajectory abnormal */
670  virtual const char* GetStateDesc(int /*BlobID*/){return NULL;};
671  virtual void SetFileName(char* /*DataBaseName*/){};
672  virtual void Release() = 0;
673 };
674 
675 
677 {
678  if(pBTPP == NULL) return;
679  if(*pBTPP)(*pBTPP)->Release();
680  *pBTPP = 0;
681 }
682 
683 /* Feature-vector generation module: */
685 {
686 public:
687  CvBlobTrackFVGen(){SetTypeName("BlobTrackFVGen");};
688  virtual void AddBlob(CvBlob* pBlob) = 0;
689  virtual void Process(IplImage* pImg, IplImage* pFG) = 0;
690  virtual void Release() = 0;
691  virtual int GetFVSize() = 0;
692  virtual int GetFVNum() = 0;
693  virtual float* GetFV(int index, int* pFVID) = 0; /* Returns pointer to FV, if return 0 then FV not created */
694  virtual float* GetFVVar(){return NULL;}; /* Returns pointer to array of variation of values of FV, if returns 0 then FVVar does not exist. */
695  virtual float* GetFVMin() = 0; /* Returns pointer to array of minimal values of FV, if returns 0 then FVrange does not exist */
696  virtual float* GetFVMax() = 0; /* Returns pointer to array of maximal values of FV, if returns 0 then FVrange does not exist */
697 };
698 
699 
700 /* Trajectory Analyser module: */
702 {
703 public:
705  virtual int Process(CvBlob* pBlob, IplImage* pImg, IplImage* pFG) = 0;
706  /* return 0 if trajectory is normal
707  return >0 if trajectory abnormal */
708  virtual void Release() = 0;
709 };
710 
711 /* Create blob tracking post processing module based on simle module: */
713 
714 /* Declarations of constructors of implemented modules: */
715 
716 /* Based on histogram analysis of 2D FV (x,y): */
718 
719 /* Based on histogram analysis of 4D FV (x,y,vx,vy): */
721 
722 /* Based on histogram analysis of 5D FV (x,y,vx,vy,state): */
724 
725 /* Based on histogram analysis of 4D FV (startpos,stoppos): */
727 
728 
729 
730 /* Based on SVM classifier analysis of 2D FV (x,y): */
731 //CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMP();
732 
733 /* Based on SVM classifier analysis of 4D FV (x,y,vx,vy): */
734 //CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMPV();
735 
736 /* Based on SVM classifier analysis of 5D FV (x,y,vx,vy,state): */
737 //CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMPVS();
738 
739 /* Based on SVM classifier analysis of 4D FV (startpos,stoppos): */
740 //CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMSS();
741 
742 /* Track analysis based on distance between tracks: */
744 
745 /* Analyzer based on reation Road and height map: */
746 //CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysis3DRoadMap();
747 
748 /* Analyzer that makes OR decision using set of analyzers: */
750 
751 /* Estimator of human height: */
753 {
754 public:
755  virtual double GetHeight(CvBlob* pB) = 0;
756 };
757 //CV_EXPORTS CvBlobTrackAnalysisHeight* cvCreateModuleBlobTrackAnalysisHeightScale();
758 
759 
760 
761 /* AUTO BLOB TRACKER INTERFACE -- pipeline of 3 modules: */
763 {
764 public:
765  CvBlobTrackerAuto(){SetTypeName("BlobTrackerAuto");};
766  virtual void Process(IplImage* pImg, IplImage* pMask = NULL) = 0;
767  virtual CvBlob* GetBlob(int index) = 0;
768  virtual CvBlob* GetBlobByID(int ID) = 0;
769  virtual int GetBlobNum() = 0;
770  virtual IplImage* GetFGMask(){return NULL;};
771  virtual float GetState(int BlobID) = 0;
772  virtual const char* GetStateDesc(int BlobID) = 0;
773  /* return 0 if trajectory is normal;
774  * return >0 if trajectory abnormal. */
775  virtual void Release() = 0;
776 };
778 {
779  ppT[0]->Release();
780  ppT[0] = 0;
781 }
782 /* END AUTO BLOB TRACKER INTERFACE */
783 
784 
785 /* Constructor functions and data for specific BlobTRackerAuto modules: */
786 
787 /* Parameters of blobtracker auto ver1: */
789 {
790  int FGTrainFrames; /* Number of frames needed for FG (foreground) detector to train. */
791 
792  CvFGDetector* pFG; /* FGDetector module. If this field is NULL the Process FG mask is used. */
793 
794  CvBlobDetector* pBD; /* Selected blob detector module. */
795  /* If this field is NULL default blobdetector module will be created. */
796 
797  CvBlobTracker* pBT; /* Selected blob tracking module. */
798  /* If this field is NULL default blobtracker module will be created. */
799 
800  CvBlobTrackGen* pBTGen; /* Selected blob trajectory generator. */
801  /* If this field is NULL no generator is used. */
802 
803  CvBlobTrackPostProc* pBTPP; /* Selected blob trajectory postprocessing module. */
804  /* If this field is NULL no postprocessing is done. */
805 
807 
808  CvBlobTrackAnalysis* pBTA; /* Selected blob trajectory analysis module. */
809  /* If this field is NULL no track analysis is done. */
810 };
811 
812 /* Create blob tracker auto ver1: */
814 
815 /* Simple loader for many auto trackers by its type : */
817 {
818  if(type == 0) return cvCreateBlobTrackerAuto1((CvBlobTrackerAutoParam1*)param);
819  return 0;
820 }
821 
822 
823 
825 {
826  int len1,len2;
827  int beg1,beg2;
828  int end1,end2;
829  int comLen; //common length for two tracks
831 };
832 
833 /*CV_EXPORTS int cvCompareTracks( CvBlobTrackSeq *groundTruth,
834  CvBlobTrackSeq *result,
835  FILE *file);*/
836 
837 
838 /* Constructor functions: */
839 
842 CV_EXPORTS void cvCreateTracks_AreaErr(CvBlobTrackSeq *TS1, CvBlobTrackSeq *TS2, int addW, int addH);
843 
844 
845 /* HIST API */
847 {
848 public:
849  virtual ~CvProb() {};
850 
851  /* Calculate probability value: */
852  virtual double Value(int* /*comp*/, int /*x*/ = 0, int /*y*/ = 0){return -1;};
853 
854  /* Update histograpp Pnew = (1-W)*Pold + W*Padd*/
855  /* W weight of new added prob */
856  /* comps - matrix of new fetature vectors used to update prob */
857  virtual void AddFeature(float W, int* comps, int x =0, int y = 0) = 0;
858  virtual void Scale(float factor = 0, int x = -1, int y = -1) = 0;
859  virtual void Release() = 0;
860 };
861 inline void cvReleaseProb(CvProb** ppProb){ppProb[0]->Release();ppProb[0]=NULL;}
862 /* HIST API */
863 
864 /* Some Prob: */
865 CV_EXPORTS CvProb* cvCreateProbS(int dim, CvSize size, int sample_num);
866 CV_EXPORTS CvProb* cvCreateProbMG(int dim, CvSize size, int sample_num);
867 CV_EXPORTS CvProb* cvCreateProbMG2(int dim, CvSize size, int sample_num);
868 CV_EXPORTS CvProb* cvCreateProbHist(int dim, CvSize size);
869 
870 #define CV_BT_HIST_TYPE_S 0
871 #define CV_BT_HIST_TYPE_MG 1
872 #define CV_BT_HIST_TYPE_MG2 2
873 #define CV_BT_HIST_TYPE_H 3
874 inline CvProb* cvCreateProb(int type, int dim, CvSize size = cvSize(1,1), void* /*param*/ = NULL)
875 {
876  if(type == CV_BT_HIST_TYPE_S) return cvCreateProbS(dim, size, -1);
877  if(type == CV_BT_HIST_TYPE_MG) return cvCreateProbMG(dim, size, -1);
878  if(type == CV_BT_HIST_TYPE_MG2) return cvCreateProbMG2(dim, size, -1);
879  if(type == CV_BT_HIST_TYPE_H) return cvCreateProbHist(dim, size);
880  return NULL;
881 }
882 
883 
884 
885 /* Noise type definitions: */
886 #define CV_NOISE_NONE 0
887 #define CV_NOISE_GAUSSIAN 1
888 #define CV_NOISE_UNIFORM 2
889 #define CV_NOISE_SPECKLE 3
890 #define CV_NOISE_SALT_AND_PEPPER 4
891 
892 /* Add some noise to image: */
893 /* pImg - (input) image without noise */
894 /* pImg - (output) image with noise */
895 /* noise_type - type of added noise */
896 /* CV_NOISE_GAUSSIAN - pImg += n , n - is gaussian noise with Ampl standart deviation */
897 /* CV_NOISE_UNIFORM - pImg += n , n - is uniform noise with Ampl standart deviation */
898 /* CV_NOISE_SPECKLE - pImg += n*pImg , n - is gaussian noise with Ampl standart deviation */
899 /* CV_NOISE_SALT_AND_PAPPER - pImg = pImg with blacked and whited pixels,
900  Ampl is density of brocken pixels (0-there are not broken pixels, 1 - all pixels are broken)*/
901 /* Ampl - "amplitude" of noise */
902 //CV_EXPORTS void cvAddNoise(IplImage* pImg, int noise_type, double Ampl, CvRNG* rnd_state = NULL);
903 
904 /*================== GENERATOR OF TEST VIDEO SEQUENCE ===================== */
905 typedef void CvTestSeq;
906 
907 /* pConfigfile - Name of file (yml or xml) with description of test sequence */
908 /* videos - array of names of test videos described in "pConfigfile" file */
909 /* numvideos - size of "videos" array */
910 CV_EXPORTS CvTestSeq* cvCreateTestSeq(char* pConfigfile, char** videos, int numvideo, float Scale = 1, int noise_type = CV_NOISE_NONE, double noise_ampl = 0);
911 CV_EXPORTS void cvReleaseTestSeq(CvTestSeq** ppTestSeq);
912 
913 /* Generate next frame from test video seq and return pointer to it: */
914 CV_EXPORTS IplImage* cvTestSeqQueryFrame(CvTestSeq* pTestSeq);
915 
916 /* Return pointer to current foreground mask: */
917 CV_EXPORTS IplImage* cvTestSeqGetFGMask(CvTestSeq* pTestSeq);
918 
919 /* Return pointer to current image: */
920 CV_EXPORTS IplImage* cvTestSeqGetImage(CvTestSeq* pTestSeq);
921 
922 /* Return frame size of result test video: */
923 CV_EXPORTS CvSize cvTestSeqGetImageSize(CvTestSeq* pTestSeq);
924 
925 /* Return number of frames result test video: */
926 CV_EXPORTS int cvTestSeqFrameNum(CvTestSeq* pTestSeq);
927 
928 /* Return number of existing objects.
929  * This is general number of any objects.
930  * For example number of trajectories may be equal or less than returned value:
931  */
932 CV_EXPORTS int cvTestSeqGetObjectNum(CvTestSeq* pTestSeq);
933 
934 /* Return 0 if there is not position for current defined on current frame */
935 /* Return 1 if there is object position and pPos was filled */
936 CV_EXPORTS int cvTestSeqGetObjectPos(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pPos);
937 CV_EXPORTS int cvTestSeqGetObjectSize(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pSize);
938 
939 /* Add noise to final image: */
940 CV_EXPORTS void cvTestSeqAddNoise(CvTestSeq* pTestSeq, int noise_type = CV_NOISE_NONE, double noise_ampl = 0);
941 
942 /* Add Intensity variation: */
943 CV_EXPORTS void cvTestSeqAddIntensityVariation(CvTestSeq* pTestSeq, float DI_per_frame, float MinI, float MaxI);
944 CV_EXPORTS void cvTestSeqSetFrame(CvTestSeq* pTestSeq, int n);
945 
946 #endif
947 
948 /* End of file. */