基于opencv利用差分法求运动的轮廓.doc

基于opencv利用差分法求运动的轮廓 2008-10-26 01:12 今天仔细研究了一下差分法求运动的轮廓，简单用程序实现了一下，结果如下，差分法比较容易获得运动的轮廓，对于不运动的身体部分则不会显示，这样的好处是可以得到需要关注的运动部分，不运动的则不关心，但是如果需要得到整个人体的轮廓，该如何呢？我试着用程序记录前4帧的数据，然后叠加出来显示，看来效果不是很好。 还要继续考虑... 关键部分的代码如下：main.cpp #ifdef _CH_#pragma package opencv#endif #ifndef _EiC// motion templates sample code#include cv.h#include highgui.h#include time.h#include math.h#include ctype.h#include stdio.h#endif // various tracking parameters (in seconds)const double MHI_DURATION = 1;const double MAX_TIME_DELTA = 0.5;const double MIN_TIME_DELTA = 0.05;// number of cyclic frame buffer used for motion detection// (should, probably, depend on FPS)const int N = 4; // ring image bufferIplImage **buf = 0;int last = 0; // temporary imagesIplImage *mhi = 0; // MHIIplImage *orient = 0; // orientationIplImage *mask = 0; // valid orientation maskIplImage *segmask = 0; // motion segmentation mapCvMemStorage* storage = 0; // temporary storage IplImage* abs_image = 0;IplImage* add_abs_image = 0;IplImage* abs_images[3]; IplImage* grey =0;IplImage* pre_grey = 0;IplImage* dst = 0;CvSeq* contour = 0; int test( IplImage* src,IplImage* pre_src ); int main(int argc, char** argv){??? //IplImage* motion = 0;??? CvCapture* capture = 0;IplImage* pre_image = 0;IplImage* image = 0;int frame_count =0; ??? if( argc == 1 || (argc == 2 strlen(argv[1]) == 1 isdigit(argv[1][0])))??????? //capture = cvCaptureFromCAM( argc == 2 ? argv[1][0] - 0 : 0 );?? capture = cvCaptureFromFile(e:\\abc.avi);??? else if( argc == 2 )??????? capture = cvCaptureFromAVI( argv[1] ); ??? if( capture )??? {??????? ??????? //cvNamedWindow( Motion, 1 );?? cvNamedWindow( Source, 1 );??????? cvNamedWindow( Components, 1 );??????? ??????? for(;;)??????? {??????????? ??????????? if( !cvGrabFrame( capture ))??????????????? break;??????????? image = cvRetrieveFrame( capture ); ??? if (!pre_image) ??? {???? pre_image = cvCreateImage( cvGetSize(image), 8, 3 );??????????? abs_image = cvC