运动模板检测

1、运动模板检测（摄像头）#include "cv.h"#include "highgui.h"#include#include#include#include/ various tracking parameters (in seconds) const double MHI_DURATION = 0.5;const double MAX_TIME_DELTA = 0.5;const double MIN_TIME_DELTA = 0.05;/ 用于运动检测的循环帧数， 与机器速度以及 FPS 设置有关 const int N = 2;/ ring ima

2、ge bufferIplImage *buf = 0;int last = 0;/ temporary imagesIplImage *mhi = 0; / MHI: motion history imageIplImage *orient = 0; / orientationIplImage *mask = 0; / valid orientation maskIplImage *segmask = 0; / motion segmentation mapCvMemStorage* storage = 0; / temporary storage/ parameters: / img - i

3、nput video frame/ dst - resultant motion picture/ args - optional parametersvoid update_mhi( IplImage* img, IplImage* dst, int diff_threshold )double timestamp = clock()/1000.; / get current time in secondsCvSize size = cvSize(img->width,img->height); / get current frame sizeint i, idx

4、1 = last, idx2;IplImage* silh;CvSeq* seq;CvRect comp_rect;double count;double angle;CvPoint center;double magnitude;CvScalar color;/ allocate images at the beginning or/ reallocate them if the frame size is changed if( !mhi | mhi->width != size.width | mhi->height != size.height )if( b

5、uf = 0 )buf = (IplImage*)malloc(N*sizeof(buf0); memset( buf, 0, N*sizeof(buf0);for( i = 0; i < N; i+ ) cvReleaseImage( &bufi );bufi = cvCreateImage( size, IPL_DEPTH_8U, 1 );cvZero( bufi );cvReleaseImage( &mhi ); cvReleaseImage( &orient );cvReleaseImage( &segmas

6、k ); cvReleaseImage( &mask );mhi = cvCreateImage( size, IPL_DEPTH_32F, 1 ); cvZero( mhi ); / clear MHI at the beginning orient = cvCreateImage( size, IPL_DEPTH_32F, 1 ); segmask = cvCreateImage( size, IPL_DEPTH_32F,1 );mask = cvCreateImage( size, IPL_DEPTH_8U, 1 );cvCvtColor( img, buflast, C

7、V_BGR2GRAY ); /convert frame to grayscaleidx2 = (last + 1) % N; / index of(last - (N-1)th framelast = idx2; silh = bufidx2;/ 相邻两帧的差cvAbsDiff( bufidx1, bufidx2, silh ); / get difference between frames/ 对差图像做二值化 cvThreshold( silh, silh, diff_threshold, 1,CV_THRESH_BINARY ); / and threshold it cvUpdate

8、MotionHistory( silh, mhi, timestamp,MHI_DURATION ); / update MHI/ convert MHI to blue8u image/ cvCvtScale 的第四个参数 shift = (MHI_DURATION - timestamp)*255./MHI_DURATION/ 控制帧差的消失速率cvCvtScale( mhi, mask, 255./MHI_DURATION, (MHI_DURATION - timestamp)*255./MHI_DURATION ); cvZero( dst );cvCvtPlaneToPix(mask

9、, 0, 0, 0, dst ); / B,G,R,0 >dist : convert to BLUE image / 计算运动的梯度方向以及 正确的方向掩模 mask/ Filter size = 3 cvCalcMotionGradient( mhi, mask, orient, MAX_TIME_DELTA, MIN_TIME_DELTA, 3 );if( !storage ) storage = cvCreateMemStorage(0);else cvClearMemStorage(storage);/ 运动分割 : 获得运动部件的连续序列/ segmask is ma

10、rked motion components map. It is not used furtherseq = cvSegmentMotion( mhi, segmask, storage, timestamp, MAX_TIME_DELTA );/ iterate through the motioncomponents,/ One more iteration (i = -1) corresponds to the whole image (global motion)for( i = 0; i < seq->total; i+ )if( i <

11、0 ) / case of the whole image ，对整幅图像做操作comp_rect = cvRect( 0, 0, size.width,size.height );color = CV_RGB(255,255,255); / white color magnitude = 100; / 画线长度以及圆半径的大 小控制else / i-th motion componentcomp_rect =(CvConnectedComp*)cvGetSeqElem( seq, i )->rect;/ 去掉小的部分if( comp_rect.width + comp_rect.

12、height < 100 ) continue;color = CV_RGB(255,0,0);/ red colormagnitude = 30;/if(seq->total > 0) MessageBox(NULL,"Motion Detected",NULL,0); / select component ROIcvSetImageROI( silh, comp_rect );cvSetImageROI( mhi, comp_rect );cvSetImageROI( orient, comp_rect );cvSetImage

13、ROI( mask, comp_rect );/ 在选择的区域内 , 计算运动方向angle = cvCalcGlobalOrientation( orient, mask, mhi,timestamp, MHI_DURATION);angle = 360.0 - angle; / adjust for images with top-left origin / 在轮廓内计算点数/ Norm(L1) = sum of total pixel valuescount = cvNorm( silh, 0, CV_L1, 0 );/ Thefunction cvResetImageROI relea

14、ses image ROIcvResetImageROI( mhi );cvResetImageROI( orient );cvResetImageROI( mask );cvResetImageROI( silh );/ check for thecase of little motionif( count < comp_rect.width*comp_rect.height *0.05 ) / five percent of pixelcontinue;/ draw a clock with arrowindicating the directioncenter = cvPo

15、int( (comp_rect.x + comp_rect.width/2), (comp_rect.y + comp_rect.height/2) );cvCircle( dst, center,cvRound(magnitude*1.2), color, 3, CV_AA, 0 );cvLine( dst, center, cvPoint( cvRound( center.x +magnitude*cos(angle*CV_PI/180),cvRound( center.y -magnitude*sin(angle*CV_PI/180),color, 3, CV_AA, 0 );int m

16、ain(int argc, char* argv)IplImage* motion = 0;CvCapture* capture = 0;if( argc = 1 | (argc = 2 && strlen(argv1) =1 && isdigit(argv10)capture = cvCaptureFromCAM( argc = 2 ? argv10 - '0' : 0 );else if( argc = 2 )capture = cvCaptureFromA VI( argv1 );if( capture ) cvNamedWindow( "Motion", 1 );for(;)IplImage* image;if( !cvGrabFrame( capture )break;image = cvRetrieveFrame( capture );if( image )if( !motion )motion =cvCreateImage( cvSize(image->width,image->height),8,