#include "cvaux.h"
#include "highgui.h"
#include
/* 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 */ /* FG(前景)检测模块的列表 */
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"},// 高斯混合模型运动目标检测
{NULL,NULL,NULL}
};
/* list of BLOB DETECTION modules */ /* BLOB检测模块的列表 */
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 */ /* BLOB跟踪模块的列表 */
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 */ /* BLOB轨迹生成模块的列表 */
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 */ /* BLOB轨迹后处理模块的列表 */
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 */ /* BLOB轨迹分析模块的列表 */
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 */ /* BLOB轨迹分析模块的列表 */
/*================= END MODULES DECRIPTION ===================================*/
/* run pipeline on all frames */
/* 运行传递途径上的所有帧 */
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.y >>= 8;
s.width >>= 8;
s.height >>= 8;
sprintf(str,"%03d",CV_BLOB_ID(pB));
cvGetTextSize( str, &font, &TextSize, NULL );
p.y -= s.height;
cvPutText( pI, str, p, &font, CV_RGB(0,255,255));
{
const char* pS = pTracker->GetStateDesc(CV_BLOB_ID(pB));
if(pS)
{
char* pStr = strdup(pS);
char* pStrFree = pStr;
for(;pStr && strlen(pStr)>0;)
{
char* str_next = strchr(pStr,'\n');
if(str_next)
{
str_next[0] = 0;
str_next++;
}
p.y += TextSize.height+1;
cvPutText( pI, pStr, p, &font, CV_RGB(0,255,255));
pStr = str_next;
}
free(pStrFree);
}
}
}/* next blob */;
cvNamedWindow( "Tracking", 0);
cvShowImage( "Tracking",pI );
if(btavi_name && pI)
{/* save to avi file */
CvSize S = cvSize(pI->width,pI->height);
if(pBTAvi==NULL)
{
pBTAvi=cvCreateVideoWriter(
btavi_name,
CV_FOURCC('x','v','i','d'),
25,
S );
}
cvWriteFrame( pBTAvi, pI );
}
cvReleaseImage(&pI);
}/* draw all inforamtion about tets sequence */
}/* main cicle */
if(pFGAvi)cvReleaseVideoWriter( &pFGAvi );
if(pBTAvi)cvReleaseVideoWriter( &pBTAvi );
return 0;
}/* RunBlobTrackingAuto */
/* read parameters from command line and transfer to specified module */
/* 读取命令行参数并转移到指定的模块 */
static void set_params(int argc, char* argv[], CvVSModule* pM, char* prefix, char* module)
{
int prefix_len = strlen(prefix);
int i;
for(i=0;iGetParamName(j);
if(param==NULL) break;
param_len = strlen(param);
if(cmd_param_len!=param_len) continue;
if(MY_STRNICMP(param,cmd,param_len)!=0) continue;
cmd+=param_len;
if(cmd[0]!='=')continue;
cmd++;
pM->SetParamStr(param,cmd);
printf("%s:%s param set to %g\n",module,param,pM->GetParam(param));
}
}
pM->ParamUpdate();
}/* set_params */
/* print all parameters value for given module */ /* 对于给定的模块,打印所有参数的值 */
static void print_params(CvVSModule* pM, char* module, char* log_name)
{
FILE* log = log_name?fopen(log_name,"at"):NULL;
int i;
if(pM->GetParamName(0) == NULL ) return;
printf("%s(%s) module parameters:\n",module,pM->GetNickName());
if(log)
fprintf(log,"%s(%s) module parameters:\n",module,pM->GetNickName());
for(i=0;;++i)
{
const char* param = pM->GetParamName(i);
const char* str = param?pM->GetParamStr(param):NULL;
if(param == NULL)break;
if(str)
{
printf(" %s: %s\n",param,str);
if(log)
fprintf(log," %s: %s\n",param,str);
}
else
{
printf(" %s: %g\n",param,pM->GetParam(param));
if(log)
fprintf(log," %s: %g\n",param,pM->GetParam(param));
}
}
if(log)fclose(log);
}/* print_params */
int main(int argc, char* argv[])
{/* main function */
CvCapture* pCap = NULL;
CvBlobTrackerAutoParam1 param = {0};
CvBlobTrackerAuto* pTracker = NULL;
float scale = 1;
char* scale_name = NULL;
char* yml_name = NULL;
char** yml_video_names = NULL;
int yml_video_num = 0;
char* avi_name = NULL;
char* fg_name = NULL;
char* fgavi_name = NULL;
char* btavi_name = NULL;
char* bd_name = NULL;
char* bt_name = NULL;
char* btgen_name = NULL;
char* btpp_name = NULL;
char* bta_name = NULL;
char* bta_data_name = NULL;
char* track_name = NULL;
char* comment_name = NULL;
char* FGTrainFrames = NULL;
char* log_name = NULL;
char* savestate_name = NULL;
char* loadstate_name = NULL;
char* bt_corr = NULL;
DefModule_FGDetector* pFGModule = NULL;
DefModule_BlobDetector* pBDModule = NULL;
DefModule_BlobTracker* pBTModule = NULL;
DefModule_BlobTrackPostProc* pBTPostProcModule = NULL;
DefModule_BlobTrackGen* pBTGenModule = NULL;
DefModule_BlobTrackAnalysis* pBTAnalysisModule = NULL;
cvInitSystem(argc, argv);
if(argc < 2)
{/* print help *//* 打印帮助 */
int i;
printf("blobtrack [fg=] [bd=]\n"
" [bt=] [btpp=]\n"
" [bta=\n"
" [bta_data=\n"
" [bt_corr=]\n"
" [btgen=]\n"
" [track=]\n"
" [scale=] [noise=] [IVar=]\n"
" [FGTrainFrames=]\n"
" [btavi=] [fgavi=]\n"
" \n");
printf(" is way of blob position corrrection for \"Blob Tracking\" module\n"
" =none,PostProcRes\n"
" is number of frames for FG training\n"
" is file name for save tracked trajectories\n"
" is file name for data base of trajectory analysis module\n"
" is file name of avi to process by BlobTrackerAuto\n");
puts("\nModules:");
#define PR(_name,_m,_mt)\
printf("<%s> is \"%s\" module name and can be:\n",_name,_mt);\
for(i=0;_m[i].nickname;++i)\
{\
printf(" %d. %s",i+1,_m[i].nickname);\
if(_m[i].description)printf(" - %s",_m[i].description);\
printf("\n");\
}
PR("fg_name",FGDetector_Modules,"FG/BG Detection");
PR("bd_name",BlobDetector_Modules,"Blob Entrance Detection");
PR("bt_name",BlobTracker_Modules,"Blob Tracking");
PR("btpp_name",BlobTrackPostProc_Modules, "Blob Trajectory Post Processing");
PR("btgen_name",BlobTrackGen_Modules, "Blob Trajectory Generation");
PR("bta_name",BlobTrackAnalysis_Modules, "Blob Trajectory Analysis");
#undef PR
return 0;
}/* print help *//* 打印帮助 */
{/* parse arguments *//* 解析传入参数 */
int i;
for(i=1;i3 && (MY_STRICMP(ext,".avi") == 0 )))
{
avi_name = argv[i];
break;
}
}/* next argument */
}
}/* parse arguments *//* 解析传入参数 */
if(track_name)
{/* set Trajectory Generator module */ /* 设置轨迹生成模块 */
int i;
if(!btgen_name)btgen_name=BlobTrackGen_Modules[0].nickname;
for(i=0;BlobTrackGen_Modules[i].nickname;++i)
{
if(MY_STRICMP(BlobTrackGen_Modules[i].nickname,btgen_name)==0)
pBTGenModule = BlobTrackGen_Modules + i;
}
}/* set Trajectory Generator modulke */ /* 设置轨迹生成模块 */
/* init postprocessing module if tracker correction by postporcessing is reqierd */
/* 后处理模块初始化,如果需要跟踪校正后处理 */
if(bt_corr && MY_STRICMP(bt_corr,"PostProcRes")!=0 && !btpp_name)
{
btpp_name = bt_corr;
if(MY_STRICMP(btpp_name,"none")!=0)bt_corr = "PostProcRes";
}
{/* set default parameters for one processing */ /* 设置默认参数为一个处理 */
if(!bt_corr) bt_corr = "none";
if(!fg_name) fg_name = FGDetector_Modules[0].nickname;
if(!bd_name) bd_name = BlobDetector_Modules[0].nickname;
if(!bt_name) bt_name = BlobTracker_Modules[0].nickname;
if(!btpp_name) btpp_name = BlobTrackPostProc_Modules[0].nickname;
if(!bta_name) bta_name = BlobTrackAnalysis_Modules[0].nickname;
if(!scale_name) scale_name = "1";
}
if(scale_name)
scale = (float)atof(scale_name);
for(pFGModule=FGDetector_Modules;pFGModule->nickname;++pFGModule)
if( fg_name && MY_STRICMP(fg_name,pFGModule->nickname)==0 ) break;
for(pBDModule=BlobDetector_Modules;pBDModule->nickname;++pBDModule)
if( bd_name && MY_STRICMP(bd_name,pBDModule->nickname)==0 ) break;
for(pBTModule=BlobTracker_Modules;pBTModule->nickname;++pBTModule)
if( bt_name && MY_STRICMP(bt_name,pBTModule->nickname)==0 ) break;
for(pBTPostProcModule=BlobTrackPostProc_Modules;pBTPostProcModule->nickname;++pBTPostProcModule)
if( btpp_name && MY_STRICMP(btpp_name,pBTPostProcModule->nickname)==0 ) break;
for(pBTAnalysisModule=BlobTrackAnalysis_Modules;pBTAnalysisModule->nickname;++pBTAnalysisModule)
if( bta_name && MY_STRICMP(bta_name,pBTAnalysisModule->nickname)==0 ) break;
/* create source video */ /* 创建视频源 */
if(avi_name)
pCap = cvCaptureFromFile(avi_name);
//pCap = cvCreateCameraCapture(-1);
if(pCap==NULL)
{
printf("Can't open %s file\n",avi_name);
return -1;
}
{/* display parameters */ /* 显示参数 */
int i;
FILE* log = log_name?fopen(log_name,"at"):NULL;
if(log)
{/* print to log file */ /* 打印到log文件 */
fprintf(log,"\n=== Blob Tracking pipline in processing mode===\n");
if(avi_name)
{
fprintf(log,"AVIFile: %s\n",avi_name);
}
fprintf(log,"FGDetector: %s\n", pFGModule->nickname);
fprintf(log,"BlobDetector: %s\n", pBDModule->nickname);
fprintf(log,"BlobTracker: %s\n", pBTModule->nickname);
fprintf(log,"BlobTrackPostProc: %s\n", pBTPostProcModule->nickname);
fprintf(log,"BlobCorrection: %s\n", bt_corr);
fprintf(log,"Blob Trajectory Generator: %s (%s)\n",
pBTGenModule?pBTGenModule->nickname:"None",
track_name?track_name:"none");
fprintf(log,"BlobTrackAnalysis: %s\n", pBTAnalysisModule->nickname);
fclose(log);
}
printf("\n=== Blob Tracking pipline in %s mode===\n","processing");
if(yml_name)
{
printf("ConfigFile: %s\n",yml_name);
printf("BG: %s\n",yml_video_names[0]);
printf("FG: ");
for(i=1;i<(yml_video_num);++i){printf(yml_video_names[i]);if((i+1)nickname);
printf("BlobDetector: %s\n", pBDModule->nickname);
printf("BlobTracker: %s\n", pBTModule->nickname);
printf("BlobTrackPostProc: %s\n", pBTPostProcModule->nickname);
printf("BlobCorrection: %s\n", bt_corr);
printf("Blob Trajectory Generator: %s (%s)\n",
pBTGenModule?pBTGenModule->nickname:"None",
track_name?track_name:"none");
printf("BlobTrackAnalysis: %s\n", pBTAnalysisModule->nickname);
}/* display parameters */ /* 显示参数 */
{ /* create autotracker module and its components*/ /* 创建自动跟踪模块及其组件 */
param.FGTrainFrames = FGTrainFrames?atoi(FGTrainFrames):0;
/* Create FG Detection module */ /* 创建FG(前景)检测模块 */
param.pFG = pFGModule->create();
if(!param.pFG)
puts("Can not create FGDetector module");
param.pFG->SetNickName(pFGModule->nickname);
set_params(argc, argv, param.pFG, "fg", pFGModule->nickname);
/* Create Blob Entrance Detection module */ /* 创建输入块(Blob Entrance)检测模块 */
param.pBD = pBDModule->create();
if(!param.pBD)
puts("Can not create BlobDetector module");
param.pBD->SetNickName(pBDModule->nickname);
set_params(argc, argv, param.pBD, "bd", pBDModule->nickname);
/* Create blob tracker module */ /* 创建块跟踪(blob tracker)模块 */
param.pBT = pBTModule->create();
if(!param.pBT)
puts("Can not create BlobTracker module");
param.pBT->SetNickName(pBTModule->nickname);
set_params(argc, argv, param.pBT, "bt", pBTModule->nickname);
/* create blob trajectory generation module */ /* 创建块轨迹生成模块 */
param.pBTGen = NULL;
if(pBTGenModule && track_name && pBTGenModule->create)
{
param.pBTGen = pBTGenModule->create();
param.pBTGen->SetFileName(track_name);
}
if(param.pBTGen)
{
param.pBTGen->SetNickName(pBTGenModule->nickname);
set_params(argc, argv, param.pBTGen, "btgen", pBTGenModule->nickname);
}
/* create blob trajectory post processing module */ /* 创建BLOB轨迹后处理模块 */
param.pBTPP = NULL;
if(pBTPostProcModule && pBTPostProcModule->create)
{
param.pBTPP = pBTPostProcModule->create();
}
if(param.pBTPP)
{
param.pBTPP->SetNickName(pBTPostProcModule->nickname);
set_params(argc, argv, param.pBTPP, "btpp", pBTPostProcModule->nickname);
}
param.UsePPData = (bt_corr && MY_STRICMP(bt_corr,"PostProcRes")==0);
/* create blob trajectory analysis module */ /* 创建BLOB轨迹分析模块 */
param.pBTA = NULL;
if(pBTAnalysisModule && pBTAnalysisModule->create)
{
param.pBTA = pBTAnalysisModule->create();
param.pBTA->SetFileName(bta_data_name);
}
if(param.pBTA)
{
param.pBTA->SetNickName(pBTAnalysisModule->nickname);
set_params(argc, argv, param.pBTA, "bta", pBTAnalysisModule->nickname);
}
/* create whole pipline */ /* 创建整个pipline */
pTracker = cvCreateBlobTrackerAuto1(¶m);
if(!pTracker)
puts("Can not create BlobTrackerAuto");
}
{ /* load states of each module from state file */ /* 从状态文件中加载每个模块的状态 */
CvFileStorage* fs = NULL;
if(loadstate_name)
fs=cvOpenFileStorage(loadstate_name,NULL,CV_STORAGE_READ);
if(fs)
{
printf("Load states for modules...\n");
if(param.pBT)
{
CvFileNode* fn = cvGetFileNodeByName(fs,NULL,"BlobTracker");
param.pBT->LoadState(fs,fn);
}
if(param.pBTA)
{
CvFileNode* fn = cvGetFileNodeByName(fs,NULL,"BlobTrackAnalyser");
param.pBTA->LoadState(fs,fn);
}
if(pTracker)
{
CvFileNode* fn = cvGetFileNodeByName(fs,NULL,"BlobTrackerAuto");
pTracker->LoadState(fs,fn);
}
cvReleaseFileStorage(&fs);
printf("... Modules states loaded\n");
}
}/* load states of each module */ /* 加载每个模块的状态 */
{/* print modules parameters */ /* 打印模块参数 */
struct DefMMM
{
CvVSModule* pM;
char* name;
} Modules[] = {
{(CvVSModule*)param.pFG,"FGdetector"},
{(CvVSModule*)param.pBD,"BlobDetector"},
{(CvVSModule*)param.pBT,"BlobTracker"},
{(CvVSModule*)param.pBTGen,"TrackGen"},
{(CvVSModule*)param.pBTPP,"PostProcessing"},
{(CvVSModule*)param.pBTA,"TrackAnalysis"},
{NULL,NULL}
};
int i;
for(i=0;Modules[i].name;++i)
{
if(Modules[i].pM)
print_params(Modules[i].pM,Modules[i].name,log_name);
}
}/* print modules parameters */ /* 打印模块参数 */
/* run pipeline */ /* 运行传递途径 */
RunBlobTrackingAuto( pCap, pTracker, fgavi_name, btavi_name );
{/* save state and release modulesSD */ /* 保存状态和释放modulesSD */
CvFileStorage* fs = NULL;
if(savestate_name)
{
fs=cvOpenFileStorage(savestate_name,NULL,CV_STORAGE_WRITE);
}
if(fs)
{
cvStartWriteStruct(fs,"BlobTracker",CV_NODE_MAP);
if(param.pBT)param.pBT->SaveState(fs);
cvEndWriteStruct(fs);
cvStartWriteStruct(fs,"BlobTrackerAuto",CV_NODE_MAP);
if(pTracker)pTracker->SaveState(fs);
cvEndWriteStruct(fs);
cvStartWriteStruct(fs,"BlobTrackAnalyser",CV_NODE_MAP);
if(param.pBTA)param.pBTA->SaveState(fs);
cvEndWriteStruct(fs);
cvReleaseFileStorage(&fs);
}
if(param.pBT)cvReleaseBlobTracker(¶m.pBT);
if(param.pBD)cvReleaseBlobDetector(¶m.pBD);
if(param.pBTGen)cvReleaseBlobTrackGen(¶m.pBTGen);
if(param.pBTA)cvReleaseBlobTrackAnalysis(¶m.pBTA);
if(param.pFG)cvReleaseFGDetector(¶m.pFG);
if(pTracker)cvReleaseBlobTrackerAuto(&pTracker);
}/* save state and release modules*/ /* 保存状态和释放模块 */
if(pCap)
cvReleaseCapture(&pCap);
return 0;
}/* main */