运动检测（前景检测）之（二）混合高斯模型GMM-赢咖4注册

aihot 2017-04-26 12:19:58 OpenCV | 查看评论

num_fit++; // 不匹配的模型个数

}

/**************************** Update parameters End ******************************************/

/*********************** Sort Gaussian component by 'weight / sigma' Start ****************************/

//对gmm各个高斯进行排序,从大到小排序,排序依据为 weight / sigma

for(int kk = 0; kk < GMM_MAX_COMPONT; kk++)

{

for(int rr=kk; rr< GMM_MAX_COMPONT; rr++)

{

if(m_weight[rr].at<float>(i, j)/m_sigma[rr].at<float>(i, j) > m_weight[kk].at<float>(i, j)/m_sigma[kk].at<float>(i, j))

{

//权值交换

float temp_weight = m_weight[rr].at<float>(i, j);

m_weight[rr].at<float>(i, j) = m_weight[kk].at<float>(i, j);

m_weight[kk].at<float>(i, j) = temp_weight;

//均值交换

uchar temp_mean = m_mean[rr].at<uchar>(i, j);

m_mean[rr].at<uchar>(i, j) = m_mean[kk].at<uchar>(i, j);

m_mean[kk].at<uchar>(i, j) = temp_mean;

//方差交换

float temp_sigma = m_sigma[rr].at<float>(i, j);

m_sigma[rr].at<float>(i, j) = m_sigma[kk].at<float>(i, j);

m_sigma[kk].at<float>(i, j) = temp_sigma;

}