-
Notifications
You must be signed in to change notification settings - Fork 1
/
main.cpp
280 lines (223 loc) · 13.4 KB
/
main.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
/*
* Algorithm
*
* 1- Save the reference frame(in gray scale and saturation scale) at the beginning of the video
* 2- Convert other coming frames to gray scale and also hsv channels
* 3- Compare each new frame with the reference frame in saturation and gray scale
* 4- If absolute value differences bigger than 25 than mark the pixel and save in a new Mat
* 5- Then erode + dilate to this frame (2 times)
* 6- Check non-zero pixels in gray channel domain and mark them for result image
* 7- Remained zero pixels in Step-6 check in saturation domain and mark them in result image
* 8- If still remained zero pixels which means they belong to background, you can make replace them with the desired background
*
* Requirements:
*
* 1- At the beginning camera should take a reference frame so you shouldnt be in front of camera
* 2- Camera should be constant
*
*/
#include <fstream>
#include <sstream>
#include <iostream>
#include <opencv2/dnn.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
using namespace cv;
using namespace dnn;
using namespace std;
Mat subtractionOfImages(Mat firstImg, Mat secondImg);
Mat subtractedImg = Mat::zeros(Size(1280,720),CV_8UC3);
Mat frameGlobal;
int main()
{
Mat bg = imread("/ur/backGroundImage/dir/bg.jpg");
VideoCapture cap(0);
namedWindow("Source",WINDOW_NORMAL);
namedWindow("Result",WINDOW_NORMAL);
namedWindow("WithBackground",WINDOW_NORMAL);
int frameCounter = 0;
Mat frame,hsv,hsvPrev,framePrev,subtractedImgGray;
while (1)
{
cap >> frame;
if(frame.data)
{
frameGlobal = frame;
cvtColor(frame,hsv,COLOR_BGR2HSV);
cvtColor(frame,frame,COLOR_BGR2GRAY);
vector<Mat>hsvChannels;
split(hsv,hsvChannels);
hsv = hsvChannels[1];
if(frameCounter == 0 || frameCounter == 1)
{
framePrev = frame;
hsvPrev = hsv;
}
else
{
Mat resultSourceImg = subtractionOfImages(frame,framePrev);
Mat resultSourceImg2 = subtractionOfImages(hsv,hsvPrev);
Mat resultSourceImg3 = resultSourceImg.clone();
Mat element = getStructuringElement( MORPH_ELLIPSE,
Size( 2*3 + 1, 2*3+1 ),
Point( 5, 5 ) );
Mat element2 = getStructuringElement( MORPH_ELLIPSE,
Size( 2*3 + 1, 2*3+1 ),
Point( 5, 5 ) );
erode(resultSourceImg,resultSourceImg,element);
dilate(resultSourceImg,resultSourceImg,element2);
erode(resultSourceImg2,resultSourceImg2,element);
dilate(resultSourceImg2,resultSourceImg2,element2);
for(int m=0; m<frameGlobal.rows; m++)
{
for(int n=0; n<frameGlobal.cols; n++)
{
if((int)resultSourceImg.at<Vec3b>(Point(n,m))[1] != 0)
{
resultSourceImg.at<Vec3b>(Point(n,m))[0] = frameGlobal.at<Vec3b>(Point(n,m))[0];
resultSourceImg.at<Vec3b>(Point(n,m))[1] = frameGlobal.at<Vec3b>(Point(n,m))[1];
resultSourceImg.at<Vec3b>(Point(n,m))[2] = frameGlobal.at<Vec3b>(Point(n,m))[2];
resultSourceImg3.at<Vec3b>(Point(n,m))[0] = frameGlobal.at<Vec3b>(Point(n,m))[0];
resultSourceImg3.at<Vec3b>(Point(n,m))[1] = frameGlobal.at<Vec3b>(Point(n,m))[1];
resultSourceImg3.at<Vec3b>(Point(n,m))[2] = frameGlobal.at<Vec3b>(Point(n,m))[2];
}
else if((int)resultSourceImg2.at<Vec3b>(Point(n,m))[1] != 0)
{
resultSourceImg.at<Vec3b>(Point(n,m))[0] = frameGlobal.at<Vec3b>(Point(n,m))[0];
resultSourceImg.at<Vec3b>(Point(n,m))[1] = frameGlobal.at<Vec3b>(Point(n,m))[1];
resultSourceImg.at<Vec3b>(Point(n,m))[2] = frameGlobal.at<Vec3b>(Point(n,m))[2];
resultSourceImg3.at<Vec3b>(Point(n,m))[0] = frameGlobal.at<Vec3b>(Point(n,m))[0];
resultSourceImg3.at<Vec3b>(Point(n,m))[1] = frameGlobal.at<Vec3b>(Point(n,m))[1];
resultSourceImg3.at<Vec3b>(Point(n,m))[2] = frameGlobal.at<Vec3b>(Point(n,m))[2];
}
else {
resultSourceImg3.at<Vec3b>(Point(n,m))[0] = bg.at<Vec3b>(Point(n,m))[0];
resultSourceImg3.at<Vec3b>(Point(n,m))[1] = bg.at<Vec3b>(Point(n,m))[1];
resultSourceImg3.at<Vec3b>(Point(n,m))[2] = bg.at<Vec3b>(Point(n,m))[2];
}
}
}
imshow("Result",resultSourceImg);
imshow("WithBackground",resultSourceImg3);
imshow("Source",frameGlobal);
subtractedImg = Mat::zeros(Size(1280,720),CV_8UC3);
}
frameCounter++;
int c = waitKey(1);
if((char)c == 'c')
break;
}
}
destroyAllWindows();
return 0;
}
Mat subtractionOfImages(Mat firstImg, Mat secondImg)
{
medianBlur(firstImg,firstImg,3);
medianBlur(secondImg,secondImg,3);
for(int i=0; i<firstImg.rows;i+=5)
{
for(int j=0; j<firstImg.cols;j+=5)
{
int sumFirst = 0, sumSecond = 0;
if(j+5<firstImg.cols && i+5<firstImg.rows)
{
sumFirst += (int)firstImg.at<uchar>(Point(j,i)) + (int)firstImg.at<uchar>(Point(j+1,i)) + (int)firstImg.at<uchar>(Point(j+2,i)) + (int)firstImg.at<uchar>(Point(j+3,i))
+ (int)firstImg.at<uchar>(Point(j+4,i)) + (int)firstImg.at<uchar>(Point(j,i+1)) + (int)firstImg.at<uchar>(Point(j+1,i+1))
+ (int)firstImg.at<uchar>(Point(j+2,i+1)) + (int)firstImg.at<uchar>(Point(j+3,i+1)) + (int)firstImg.at<uchar>(Point(j+4,i+1)) + (int)firstImg.at<uchar>(Point(j,i+2))
+ (int)firstImg.at<uchar>(Point(j+1,i+2)) + (int)firstImg.at<uchar>(Point(j+2,i+2)) + (int)firstImg.at<uchar>(Point(j+3,i+2)) + (int)firstImg.at<uchar>(Point(j+4,i+2))
+ (int)firstImg.at<uchar>(Point(j,i+3)) + (int)firstImg.at<uchar>(Point(j+1,i+3)) + (int)firstImg.at<uchar>(Point(j+2,i+3)) + (int)firstImg.at<uchar>(Point(j+3,i+3))
+ (int)firstImg.at<uchar>(Point(j+4,i+3)) + (int)firstImg.at<uchar>(Point(j,i+4)) + (int)firstImg.at<uchar>(Point(j+1,i+4)) + (int)firstImg.at<uchar>(Point(j+2,i+4))
+(int)firstImg.at<uchar>(Point(j+3,i+4)) + (int)firstImg.at<uchar>(Point(j+4,i+4));
sumSecond += (int)secondImg.at<uchar>(Point(j,i)) + (int)secondImg.at<uchar>(Point(j+1,i)) + (int)secondImg.at<uchar>(Point(j+2,i)) + (int)secondImg.at<uchar>(Point(j+3,i))
+ (int)secondImg.at<uchar>(Point(j+4,i)) + (int)secondImg.at<uchar>(Point(j,i+1)) + (int)secondImg.at<uchar>(Point(j+1,i+1))
+ (int)secondImg.at<uchar>(Point(j+2,i+1)) + (int)secondImg.at<uchar>(Point(j+3,i+1)) + (int)secondImg.at<uchar>(Point(j+4,i+1)) + (int)secondImg.at<uchar>(Point(j,i+2))
+ (int)secondImg.at<uchar>(Point(j+1,i+2)) + (int)secondImg.at<uchar>(Point(j+2,i+2)) + (int)secondImg.at<uchar>(Point(j+3,i+2)) + (int)secondImg.at<uchar>(Point(j+4,i+2))
+ (int)secondImg.at<uchar>(Point(j,i+3)) + (int)secondImg.at<uchar>(Point(j+1,i+3)) + (int)secondImg.at<uchar>(Point(j+2,i+3)) + (int)secondImg.at<uchar>(Point(j+3,i+3))
+ (int)secondImg.at<uchar>(Point(j+4,i+3)) + (int)secondImg.at<uchar>(Point(j,i+4)) + (int)secondImg.at<uchar>(Point(j+1,i+4)) + (int)secondImg.at<uchar>(Point(j+2,i+4))
+(int)secondImg.at<uchar>(Point(j+3,i+4)) + (int)secondImg.at<uchar>(Point(j+4,i+4));
int avgFirst = sumFirst / 25;
int avgSecond = sumSecond / 25;
if(abs(avgFirst-avgSecond)>25)
{
subtractedImg.at<Vec3b>(Point(j,i))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+1,i))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+2,i))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+3,i))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+4,i))[0] = 0;
subtractedImg.at<Vec3b>(Point(j,i+1))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+1,i+1))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+2,i+1))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+3,i+1))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+4,i+1))[0] = 0;
subtractedImg.at<Vec3b>(Point(j,i+2))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+1,i+2))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+2,i+2))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+3,i+2))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+4,i+2))[0] = 0;
subtractedImg.at<Vec3b>(Point(j,i+3))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+1,i+3))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+2,i+3))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+3,i+3))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+4,i+3))[0] = 0;
subtractedImg.at<Vec3b>(Point(j,i+4))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+1,i+4))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+2,i+4))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+3,i+4))[0] = 0;
subtractedImg.at<Vec3b>(Point(j+4,i+4))[0] = 0;
subtractedImg.at<Vec3b>(Point(j,i))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i))[1] = 255;
subtractedImg.at<Vec3b>(Point(j,i+1))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i+1))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i+1))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i+1))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i+1))[1] = 255;
subtractedImg.at<Vec3b>(Point(j,i+2))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i+2))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i+2))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i+2))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i+2))[1] = 255;
subtractedImg.at<Vec3b>(Point(j,i+3))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i+3))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i+3))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i+3))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i+3))[1] = 255;
subtractedImg.at<Vec3b>(Point(j,i+4))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i+4))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i+4))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i+4))[1] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i+4))[1] = 255;
subtractedImg.at<Vec3b>(Point(j,i))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i))[2] = 255;
subtractedImg.at<Vec3b>(Point(j,i+1))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i+1))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i+1))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i+1))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i+1))[2] = 255;
subtractedImg.at<Vec3b>(Point(j,i+2))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i+2))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i+2))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i+2))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i+2))[2] = 255;
subtractedImg.at<Vec3b>(Point(j,i+3))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i+3))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i+3))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i+3))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i+3))[2] = 255;
subtractedImg.at<Vec3b>(Point(j,i+4))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+1,i+4))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+2,i+4))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+3,i+4))[2] = 255;
subtractedImg.at<Vec3b>(Point(j+4,i+4))[2] = 255;
}
}
}
}
return subtractedImg;
}