Opencv3.1基于Vibe去除前景

Vibe.h 和Vibe.cpp还有main函数

Vibe.h:

#include <iostream>

#include "opencv2/opencv.hpp"

using namespace cv;

using namespace std;

#define NUM_SAMPLES 20 //每个像素点的样本个数

#define MIN_MATCHES 2 //#min指数

#define RADIUS 20 //Sqthere半径

#define SUBSAMPLE_FACTOR 16 //子采样概率

class ViBe_BGS

{

public:
ViBe_BGS(void);
~ViBe_BGS(void);

void init(const Mat _image);   //初始化
void processFirstFrame(const Mat _image);
void testAndUpdate(const Mat _image);  //更新
Mat getMask(void) { return m_mask; };
void deleteSamples() { delete samples; };

private:
unsigned char ***samples;
// float samples[1024][1024][NUM_SAMPLES+1];//保存每个像素点的样本值

/*
Mat m_samples[NUM_SAMPLES];
Mat m_foregroundMatchCount;*/

Mat m_mask;

};

vibe.cpp:

#include "ViBe.h"

using namespace std;

using namespace cv;

int c_xoff[9] = { -1,  0,  1, -1, 1, -1, 0, 1, 0 };  //x的邻居点

int c_yoff[9] = { -1,  0,  1, -1, 1, -1, 0, 1, 0 };  //y的邻居点

ViBe_BGS::ViBe_BGS(void)

{

}

ViBe_BGS::~ViBe_BGS(void)

{

}

/**************** Assign space and init ***************************/

void ViBe_BGS::init(const Mat _image)

{
//动态分配三维数组，samples[][][NUM_SAMPLES]存储前景被连续检测的次数
samples = new unsigned char **[_image.rows];
for (int i = 0; i<_image.rows; i++)
{
samples[i] = new unsigned char *[1024];
for (int j = 0; j<_image.cols; j++)
{
samples[i][j] = new unsigned char[NUM_SAMPLES + 1];
for (int k = 0; k<NUM_SAMPLES + 1; k++)
{
samples[i][j][k] = 0;
}

}

}
m_mask = Mat::zeros(_image.size(), CV_8UC1);

}

/**************** Init model from first frame ********************/

void ViBe_BGS::processFirstFrame(const Mat _image)

{
RNG rng;
int row, col;

for (int i = 0; i < _image.rows; i++)
{
for (int j = 0; j < _image.cols; j++)
{
for (int k = 0; k < NUM_SAMPLES; k++)
{
// Random pick up NUM_SAMPLES pixel in neighbourhood to construct the model
int random = rng.uniform(0, 9);

row = i + c_yoff[random];
if (row < 0)
row = 0;
if (row >= _image.rows)
row = _image.rows - 1;

col = j + c_xoff[random];
if (col < 0)
col = 0;
if (col >= _image.cols)
col = _image.cols - 1;

samples[i][j][k] = _image.at<uchar>(row, col);
}
}
}

}

/**************** Test a new frame and update model ********************/

void ViBe_BGS::testAndUpdate(const Mat _image)

{
RNG rng;

for (int i = 0; i < _image.rows; i++)
{
for (int j = 0; j < _image.cols; j++)
{
int matches(0), count(0);
int dist;

while (matches < MIN_MATCHES && count < NUM_SAMPLES)
{
dist = abs(samples[i][j][count] - _image.at<uchar>(i, j));
if (dist < RADIUS)
matches++;
count++;
}

if (matches >= MIN_MATCHES)
{
// It is a background pixel
samples[i][j][NUM_SAMPLES] = 0;

// Set background pixel to 0
m_mask.at<uchar>(i, j) = 0;

// 如果一个像素是背景点，那么它有 1 / defaultSubsamplingFactor 的概率去更新自己的模型样本值
int random = rng.uniform(0, SUBSAMPLE_FACTOR);
if (random == 0)
{
random = rng.uniform(0, NUM_SAMPLES);
samples[i][j][random] = _image.at<uchar>(i, j);
}

// 同时也有 1 / defaultSubsamplingFactor 的概率去更新它的邻居点的模型样本值
random = rng.uniform(0, SUBSAMPLE_FACTOR);
if (random == 0)
{
int row, col;
random = rng.uniform(0, 9);
row = i + c_yoff[random];
if (row < 0)
row = 0;
if (row >= _image.rows)
row = _image.rows - 1;

random = rng.uniform(0, 9);
col = j + c_xoff[random];
if (col < 0)
col = 0;
if (col >= _image.cols)
col = _image.cols - 1;

random = rng.uniform(0, NUM_SAMPLES);
samples[i][j][random] = _image.at<uchar>(i, j);
}
}
else
{
// It is a foreground pixel
samples[i][j][NUM_SAMPLES]++;

// Set background pixel to 255
m_mask.at<uchar>(i, j) = 255;

//如果某个像素点连续N次被检测为前景，则认为一块静止区域被误判为运动，将其更新为背景点
if (samples[i][j][NUM_SAMPLES]>50)
{
int random = rng.uniform(0, NUM_SAMPLES);
if (random == 0)
{
random = rng.uniform(0, NUM_SAMPLES);
samples[i][j][random] = _image.at<uchar>(i, j);
}
}
}
}
}

}

下面是main函数：

#include "ViBe.h"

#include <cstdio>

using namespace cv;

using namespace std;

int time = 0;

int main(int argc, char* argv[])

{
Mat frame, gray, mask;
VideoCapture capture;
capture.open(0);
capture.set(CV_CAP_PROP_FRAME_WIDTH, 680);
capture.set(CV_CAP_PROP_FRAME_HEIGHT, 480);
if (!capture.isOpened())
{
cout << "No camera or video input!\n" << endl;
return -1;
}

ViBe_BGS Vibe_Bgs;
bool count = true;

while (1)
{
capture >> frame;
time++;
if (frame.empty())
continue;

cvtColor(frame, gray, CV_RGB2GRAY);
if (count)
{
Vibe_Bgs.init(gray);
Vibe_Bgs.processFirstFrame(gray);
cout << " Training ViBe complete!" << endl;
count = false;
}
else
{
if(time=15){
Vibe_Bgs.testAndUpdate(gray);
mask = Vibe_Bgs.getMask();
morphologyEx(mask, mask, MORPH_OPEN, Mat());
imshow("mask", mask);
cout << time << endl;
time = 0;
}
}

imshow("input", frame);

if (cvWaitKey(10) == 27)
break;
}

return 0;

}