运动服饰网站建设需求分析,鄂尔多斯小程序开发公司,app开发平台开发,竞价开户推广相邻帧差检测#xff1a;优点是运算快速#xff0c;实时性高#xff0c;缺点是无法应对光照的突变#xff0c;物体间一般具有空洞。 三帧差检测#xff1a;在一定程度上优化了运动物体双边#xff0c;粗轮廓的现象#xff0c;相比之下#xff0c;三帧差法比相邻帧差法更…相邻帧差检测优点是运算快速实时性高缺点是无法应对光照的突变物体间一般具有空洞。 三帧差检测在一定程度上优化了运动物体双边粗轮廓的现象相比之下三帧差法比相邻帧差法更适用于物体移动速度较快的情况。
#include opencv2/opencv.hpp/*** brief diff2_detec 相邻帧差运动目标检测* param gray_pre 输入前一帧图像(gray)* param gray_now 输入当前帧图像(gray)* return 输出图像是否为全黑全黑返回false,非全黑返回true*/
bool diff2_detection(cv::Mat gray_pre, cv::Mat gray_now)
{cv::Mat diff;cv::absdiff(gray_pre, gray_now, diff);threshold(diff, diff, 0, 255, cv::THRESH_OTSU); //自适应阈值化// 形态学操作cv::Mat kernel cv::getStructuringElement(cv::MORPH_RECT, cv::Size(8, 8));cv::morphologyEx(diff, diff, cv::MORPH_OPEN, kernel);// 显示结果cv::imshow(Output, diff);cv::waitKey(100);if(mean(diff).val[0] 0.01) // 计算差分图像灰度平均值{return true;}else{return false;}
}/*** brief diff3_detec 三帧差运动目标检测* param gray_pre 输入前一帧图像(gray)* param gray_now 输入当前帧图像(gray)* param gray_next 输入后一帧图像(gray)* return 输出图像是否为全黑全黑返回false,非全黑返回true*/
bool diff3_detection(cv::Mat gray_pre, cv::Mat gray_now, cv::Mat gray_next)
{cv::Mat diff_pre, diff_next, diff;// 计算帧差cv::absdiff(gray_pre, gray_now, diff_pre);cv::absdiff(gray_now, gray_next, diff_next);threshold(diff_pre, diff_pre, 0, 255, cv::THRESH_OTSU); //自适应阈值化threshold(diff_next, diff_next, 0, 255, cv::THRESH_OTSU); //自适应阈值化// 形态学操作cv::Mat kernel cv::getStructuringElement(cv::MORPH_RECT, cv::Size(8, 8));cv::morphologyEx(diff_pre, diff_pre, cv::MORPH_OPEN, kernel);cv::morphologyEx(diff_next, diff_next, cv::MORPH_OPEN, kernel);cv::bitwise_and(diff_pre, diff_next, diff);//与操作// 显示结果cv::imshow(Output, diff);cv::waitKey(100);if(mean(diff).val[0] 0.01) // 计算差分图像灰度平均值{return true;}else{return false;}
}int main()
{// 打开视频文件cv::VideoCapture cap(video.mp4);if (!cap.isOpened()){std::cout 无法打开视频文件 std::endl;return -1;}cv::Mat frame_pre, frame_now, frame_next;cv::Mat gray_pre, gray_now, gray_next;// 读取前三帧图像cap frame_pre;cv::cvtColor(frame_pre, gray_pre, cv::COLOR_BGR2GRAY);cap frame_now;cv::cvtColor(frame_now, gray_now, cv::COLOR_BGR2GRAY);cap frame_next;cv::cvtColor(frame_next, gray_next, cv::COLOR_BGR2GRAY);while (true){diff2_detection(gray_pre, gray_now);diff3_detection(gray_pre, gray_now, gray_next);// 更新帧gray_pre gray_now.clone();gray_now gray_next.clone();cap frame_next;if (frame_next.empty()) {break;}cv::cvtColor(frame_next, gray_next, cv::COLOR_BGR2GRAY);}// 释放资源cap.release();cv::destroyAllWindows();return 0;
}
