// 引數：
// dst – 檢測結果
void update_mhi( iplimage* img, iplimage* dst, int diff_threshold )
for( i = 0; i < n; i++ )
cvreleaseimage( &mhi );
mhi = cvcreateimage( size, ipl_depth_32f, 1 );
cvzero( mhi ); // clear mhi at the beginning
} // end of if(mhi)
cvcvtcolor( img, buf[last], cv_bgr2gray ); // convert frame to grayscale
idx1 = last;
idx2 = (last + 1) % n; // index of (last - (n-1))th frame
last = idx2;
// 做幀差
silh = buf[idx2];
cvabsdiff( buf[idx1], buf[idx2], silh ); // get difference between frames
// 對差影象做二值化
cvthreshold( silh, silh, 30, 255, cv_thresh_binary ); // and threshold it
cvupdatemotionhistory( silh, mhi, timestamp, mhi_duration ); // update mhi
cvcvtscale( mhi, dst, 255./mhi_duration,
(mhi_duration - timestamp)*255./mhi_duration );
cvcvtscale( mhi, dst, 255./mhi_duration, 0 );
// 中值濾波，消除小的雜訊
cvsmooth( dst, dst, cv_median, 3, 0, 0, 0 );
// 向下取樣，去掉雜訊
cvpyrdown( dst, pyr, 7 );
cvdilate( pyr, pyr, 0, 1 ); // 做膨脹操作，消除目標的不連續空洞
cvpyrup( pyr, dst, 7 );
//// 下面的程式段用來找到輪廓
//// create dynamic structure and sequence.
stor = cvcreatememstorage(0);
cont = cvcreateseq(cv_seq_eltype_point, sizeof(cvseq), sizeof(cvpoint) , stor);
// 找到所有輪廓
cvfindcontours( dst, stor, &cont, sizeof(cvcontour),
/*for(;cont;cont = cont->h_next)
// end of for-loop: "cont"
*/// 直接使用contour中的矩形來畫輪廓
for(;cont;cont = cont->h_next)
}// free memory
cvreleasememstorage(&stor);
cvreleaseimage( &pyr );
}
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