#include "cvaux.h"
#include "highgui.h"
#include <stdio.h>
/* select the correct function for doing case insensitive string comparaison */
#ifdef WIN32
#define MY_STRNICMP strnicmp
#define MY_STRICMP stricmp
#else
#define MY_STRNICMP strncasecmp
#define MY_STRICMP strcasecmp
#endif
/* list of FG DETECTION modules */
static CvFGDetector* cvCreateFGDetector0(){return cvCreateFGDetectorBase(CV_BG_MODEL_FGD, NULL);}
static CvFGDetector* cvCreateFGDetector0Simple(){return cvCreateFGDetectorBase(CV_BG_MODEL_FGD_SIMPLE, NULL);}
static CvFGDetector* cvCreateFGDetector1(){return cvCreateFGDetectorBase(CV_BG_MODEL_MOG, NULL);}
typedef struct DefModule_FGDetector
{
CvFGDetector* (*create)();
char* nickname;
char* description;
} DefModule_FGDetector;
DefModule_FGDetector FGDetector_Modules[] =
{
{cvCreateFGDetector0,"FG_0","Foreground Object Detection from Videos Containing Complex Background. ACM MM2003."},
{cvCreateFGDetector0Simple,"FG_0S","Simplyfied version of FG_0"},
{cvCreateFGDetector1,"FG_1","Adaptive background mixture models for real-time tracking. CVPR1999"},
{NULL,NULL,NULL}
};
/* list of BLOB DETECTION modules */
typedef struct DefModule_BlobDetector
{
CvBlobDetector* (*create)();
char* nickname;
char* description;
} DefModule_BlobDetector;
DefModule_BlobDetector BlobDetector_Modules[] =
{
{cvCreateBlobDetectorCC,"BD_CC","Detect new blob by tracking CC of FG mask"},
{cvCreateBlobDetectorSimple,"BD_Simple","Detect new blob by uniform moving of connected components of FG mask"},
{NULL,NULL,NULL}
};
/* list of BLOB TRACKING modules */
typedef struct DefModule_BlobTracker
{
CvBlobTracker* (*create)();
char* nickname;
char* description;
} DefModule_BlobTracker;
DefModule_BlobTracker BlobTracker_Modules[] =
{
{cvCreateBlobTrackerCCMSPF,"CCMSPF","connected component tracking and MSPF resolver for collision"},
{cvCreateBlobTrackerCC,"CC","Simple connected component tracking"},
{cvCreateBlobTrackerMS,"MS","Mean shift algorithm "},
{cvCreateBlobTrackerMSFG,"MSFG","Mean shift algorithm with FG mask using"},
{cvCreateBlobTrackerMSPF,"MSPF","Particle filtering based on MS weight"},
{NULL,NULL,NULL}
};
/* list of BLOB TRAJECTORY GENERATION modules */
typedef struct DefModule_BlobTrackGen
{
CvBlobTrackGen* (*create)();
char* nickname;
char* description;
} DefModule_BlobTrackGen;
DefModule_BlobTrackGen BlobTrackGen_Modules[] =
{
{cvCreateModuleBlobTrackGenYML,"YML","Generate track record in YML format as synthetic video data"},
{cvCreateModuleBlobTrackGen1,"RawTracks","Generate raw track record (x,y,sx,sy),()... in each line"},
{NULL,NULL,NULL}
};
/* list of BLOB TRAJECTORY POST PROCESSING modules */
typedef struct DefModule_BlobTrackPostProc
{
CvBlobTrackPostProc* (*create)();
char* nickname;
char* description;
} DefModule_BlobTrackPostProc;
DefModule_BlobTrackPostProc BlobTrackPostProc_Modules[] =
{
{cvCreateModuleBlobTrackPostProcKalman,"Kalman","Kalman filtering of blob position and size"},
{NULL,"None","No post processing filter"},
// {cvCreateModuleBlobTrackPostProcTimeAverRect,"TimeAverRect","Average by time using rectangle window"},
// {cvCreateModuleBlobTrackPostProcTimeAverExp,"TimeAverExp","Average by time using exponential window"},
{NULL,NULL,NULL}
};
/* list of BLOB TRAJECTORY ANALYSIS modules */
CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisDetector();
typedef struct DefModule_BlobTrackAnalysis
{
CvBlobTrackAnalysis* (*create)();
char* nickname;
char* description;
} DefModule_BlobTrackAnalysis;
DefModule_BlobTrackAnalysis BlobTrackAnalysis_Modules[] =
{
{cvCreateModuleBlobTrackAnalysisHistPVS,"HistPVS","Histogramm of 5D feture vector analysis (x,y,vx,vy,state)"},
{NULL,"None","No trajectory analiser"},
{cvCreateModuleBlobTrackAnalysisHistP,"HistP","Histogramm of 2D feture vector analysis (x,y)"},
{cvCreateModuleBlobTrackAnalysisHistPV,"HistPV","Histogramm of 4D feture vector analysis (x,y,vx,vy)"},
{cvCreateModuleBlobTrackAnalysisHistSS,"HistSS","Histogramm of 4D feture vector analysis (startpos,endpos)"},
{cvCreateModuleBlobTrackAnalysisTrackDist,"TrackDist","Compare tracks directly"},
{cvCreateModuleBlobTrackAnalysisIOR,"IOR","Integrator (by OR operation) of several analysers "},
{NULL,NULL,NULL}
};
/* list of Blob Trajectory ANALYSIS modules */
/*================= END MODULES DECRIPTION ===================================*/
/* run pipeline on all frames */
static int RunBlobTrackingAuto( CvCapture* pCap, CvBlobTrackerAuto* pTracker,char* fgavi_name = NULL, char* btavi_name = NULL )
{
int OneFrameProcess = 0;
int key;
int FrameNum = 0;
CvVideoWriter* pFGAvi = NULL;
CvVideoWriter* pBTAvi = NULL;
//cvNamedWindow( "FG", 0 );
/* main cicle */
for( FrameNum=0; pCap && (key=cvWaitKey(OneFrameProcess?0:2))!=27;
FrameNum++)
{/* main cicle */
IplImage* pImg = NULL;
IplImage* pMask = NULL;
if(key!=-1)
{
OneFrameProcess = 1;
if(key=='r')OneFrameProcess = 0;
}
pImg = cvQueryFrame(pCap);
if(pImg == NULL) break;
/* Process */
pTracker->Process(pImg, pMask);
if(fgavi_name)
if(pTracker->GetFGMask())
{/* debug FG */
IplImage* pFG = pTracker->GetFGMask();
CvSize S = cvSize(pFG->width,pFG->height);
static IplImage* pI = NULL;
if(pI==NULL)pI = cvCreateImage(S,pFG->depth,3);
cvCvtColor( pFG, pI, CV_GRAY2BGR );
if(fgavi_name)
{/* save fg to avi file */
if(pFGAvi==NULL)
{
pFGAvi=cvCreateVideoWriter(
fgavi_name,
CV_FOURCC('x','v','i','d'),
25,
S );
}
cvWriteFrame( pFGAvi, pI );
}
if(pTracker->GetBlobNum()>0)
{/* draw detected blobs */
int i;
for(i=pTracker->GetBlobNum();i>0;i--)
{
CvBlob* pB = pTracker->GetBlob(i-1);
CvPoint p = cvPointFrom32f(CV_BLOB_CENTER(pB));
CvSize s = cvSize(MAX(1,cvRound(CV_BLOB_RX(pB))), MAX(1,cvRound(CV_BLOB_RY(pB))));
int c = cvRound(255*pTracker->GetState(CV_BLOB_ID(pB)));
cvEllipse( pI,
p,
s,
0, 0, 360,
CV_RGB(c,255-c,0), cvRound(1+(3*c)/255) );
}/* next blob */;
}
cvNamedWindow( "FG",0);
cvShowImage( "FG",pI);
}/* debug FG*/
/* draw debug info */
if(pImg)
{/* draw all inforamtion about tets sequence */
char str[1024];
int line_type = CV_AA; // change it to 8 to see non-antialiased graphics
CvFont font;
int i;
IplImage* pI = cvCloneImage(pImg);
cvInitFont( &font, CV_FONT_HERSHEY_PLAIN, 0.7, 0.7, 0, 1, line_type );
for(i=pTracker->GetBlobNum();i>0;i--)
{
CvSize TextSize;
CvBlob* pB = pTracker->GetBlob(i-1);
CvPoint p = cvPoint(cvRound(pB->x*256),cvRound(pB->y*256));
CvSize s = cvSize(MAX(1,cvRound(CV_BLOB_RX(pB)*256)), MAX(1,cvRound(CV_BLOB_RY(pB)*256)));
int c = cvRound(255*pTracker->GetState(CV_BLOB_ID(pB)));
cvEllipse( pI,
p,
s,
0, 0, 360,
CV_RGB(c,255-c,0), cvRound(1+(3*0)/255), CV_AA, 8 );
p.x >>= 8;
p
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目标跟踪源代码blobtrack.
共16个文件
pdb:2个
opt:1个
idb:1个
4星 · 超过85%的资源 需积分: 10 40 下载量 14 浏览量
2010-04-27
08:57:28
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在这个例子中你将体验到目标跟踪的基本流程,通过各模块的学习将对致力于该方面研究的人祈祷一定的帮助作用
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blobtrack.rar (16个子文件)
blobtrack
blobtrack.cpp 26KB
blobtrack.ncb 49KB
blobtrack.dsp 4KB
Debug
blobtrack.pdb 553KB
vc60.pdb 116KB
blobtrack.ilk 288KB
vc60.idb 193KB
blobtrack.bsc 2.19MB
blobtrack.exe 224KB
blobtrack.sbr 0B
blobtrack.pch 5.14MB
blobtrack.obj 77KB
blobtrack.opt 53KB
blobtrack.dsw 543B
Makefile 140B
blobtrack.plg 1KB
共 16 条
- 1
资源评论
- fengbingchun2012-08-06和例程代码差不多,也没什么注释。
- 明源1232014-03-31就是opencv自带的cpp,没什么用
wangjingtai
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