OpenCV_基于自适应背景更新的运动目标检测

来源：互联网发布：pdf拆分软件下载编辑：程序博客网时间：2024/04/30 07:09

下面这段代码利用OpenCV实现了最为简单的基于自适应背景更新的运动目标检测算法。

即：

运动前景提取——背景减除

foreground = |frame - background| > threshold

更新背景模型——滑动平均滤波

background = background + (frame - background) * alpha = background * (1 - alpha) + frame * alpha

//运动前景检测——基于自适应背景更新//Author: www.icvpr.com//Blog:   http://blog.csdn.net/icvpr#include <iostream>#include <string>#include <opencv2/opencv.hpp>int main(int argc, char** argv){std::string videoFileName = "../test.avi";int threshold = 25 ;    // 二值化阈值float alpha = 0.01;     // 更新速度 [0, 1]cv::VideoCapture capture;capture.open(videoFileName);if (!capture.isOpened()){std::cout<<"cannot open video"<<std::endl;return -1;}cv::Mat foregroundImg;cv::Mat foregroundMat;cv::Mat backgroundImg;cv::Mat backgroundMat;cv::Mat frame;cv::Mat grayImg;cv::Mat grayMat;while (capture.read(frame)){cv::cvtColor(frame, grayImg, CV_BGR2GRAY);grayImg.convertTo(grayMat, CV_32FC1);if (backgroundMat.empty()){grayImg.copyTo(backgroundImg);grayImg.convertTo(backgroundMat, CV_32FC1);}// 背景减除cv::absdiff(grayMat, backgroundMat, foregroundMat);// 自适应背景更新cv::addWeighted(backgroundMat, alpha, foregroundMat, 1-alpha, 0, backgroundMat);// 二值化，获取前景像素点cv::threshold(foregroundMat, foregroundMat, threshold, 255, CV_THRESH_BINARY);// 为了显示用，将CV_32FC1转换为CV_8Ucv::convertScaleAbs(foregroundMat, foregroundImg);cv::convertScaleAbs(backgroundMat, backgroundImg);cv::imshow("frame", frame);cv::imshow("foreground", foregroundImg);cv::imshow("background", backgroundImg);if (cv::waitKey(25) > 0){break;}}return 0;}