-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathTrack.h
420 lines (389 loc) · 13.1 KB
/
Track.h
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
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <iostream>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/core/core.hpp>
#include <vector>
#include <algorithm>
#include <cstdio>
#include <opencv2/opencv.hpp>
#include <Math.h>
using namespace std;
using namespace cv;
const int winHeight=360;
const int winWidth=640;
bool flags=true;
//�˶��켣��¼����
struct ObjectList{
int x;
int y;
struct ObjectList*next;
};
//�˶�����ṹ��
struct Movingobject{
int area; //©�����
int label; //�������е�����λ��
int index; //�˶�����Ľ������
Point points[2];//���ο�������Խǵ�
int length;//�켣����
struct ObjectList*head; //�켣��ͷ���
struct ObjectList*tail;
CvKalman *kalman;//kalmanԤ�����ñ���
CvMat* measurement; //��Ҫ���������е��ó�ʼ���������г�ʼ��
struct Movingobject*next;
};
//���ߺ����������˶��켣�������˶��켣ȫ��������
void draw_line(Mat image,ObjectList *t)
{
ObjectList *t1=t;
while (t1!=NULL)
{
if(t1->next!=NULL)
{
line(image,cvPoint(t1->x,t1->y),cvPoint(t1->next->x,t1->next->y),cvScalar(255,0,255),2,8,0);
}
t1=t1->next;
}
}
void draw_rectangle(Mat image,Movingobject*head)
{
Movingobject*t=head;
while(t!=NULL)
{
if(t->length>=3&&t->area==0)
{
CvRect p=cvRect(t->points[0].x,t->points[0].y,abs(t->points[1].x-t->points[0].x),abs(t->points[1].y-t->points[0].y));
rectangle(image,p,cv::Scalar(0,255,0),2);
draw_line(image,t->head);
}
if(t->length>=3&&t->area!=0)
{
CvRect p=cvRect(t->points[0].x,t->points[0].y,abs(t->points[1].x-t->points[0].x),abs(t->points[1].y-t->points[0].y));
rectangle(image,p,cv::Scalar(255,0,0),2);
draw_line(image,t->head);
}
t=t->next;
}
}
//ʹ�þ��ο�B��ȫ��Χ�ھ��ο�A��
CvRect ChangeRect(CvRect A,CvRect B)
{
if(B.x<A.x)
B.x=A.x;
if(B.x+B.width>A.x+A.width)
B.width=A.x+A.width-B.x;
if(B.y<A.y)
B.y=A.y;
if(B.y+B.height>A.y+A.height)
B.height=A.y+A.height-B.y;
if(B.height*B.width>100)
return(B);
else return CvRect();
}
//�ͷ��ض��˶�����Ĺ켣����
void release_Movobj(Movingobject *link)
{
Movingobject *p=link;
ObjectList *t1=p->head,*t2=NULL;
while(t1!=NULL)
{
t2=t1;
t1=t1->next;
delete t2;
}
}
//��ʼ��kalman����
Movingobject* InitKalman(Movingobject *p)
{
const float A[] = {1,0,1,0,
0,1,0,1,
0,0,1,0,
0,0,0,1};
p->kalman = cvCreateKalman( 4, 2, 0 );
p->measurement=cvCreateMat( 2, 1, CV_32FC1 );
memcpy( p->kalman->transition_matrix->data.fl, A, sizeof(A));//A
cvSetIdentity( p->kalman->measurement_matrix, cvScalarAll(1) );//H
cvSetIdentity( p->kalman->process_noise_cov, cvScalarAll(1e-5) );//Q w ��
cvSetIdentity( p->kalman->measurement_noise_cov, cvScalarAll(1e-1) );//R v
cvSetIdentity( p->kalman->error_cov_post, cvScalarAll(1));//P
CvRNG rng = cvRNG(-1);
cvRandArr(&rng,p->kalman->state_post,CV_RAND_UNI,cvRealScalar(0),cvRealScalar(winHeight>winWidth?winWidth:winHeight));
return p;
}
//��ʼ���˶�����ṹ��
Movingobject* InitMovingobject(void)
{
Movingobject*p=new Movingobject();
p->area=0;
p->head=new ObjectList();
p->tail=p->head;
p->index=0;
p->label=0;
p->length=0;
p->next=NULL;
p=InitKalman(p);
return p;
}
//ɾ��ָ��λ�õĽṹ��
Movingobject* delete_Movobj(Movingobject*head,Movingobject*p,int *in_num,int *out_num,int *fit)
{
Movingobject *t=head;
if(head==p)
head=head->next;
else
{
while(t->next!=p)
t=t->next;
t->next=p->next;
}
//��ɾ���˶������ͬʱ�����˶������ǽ����dz�
//���õ������չ켣���λ�����ж��ģ�Ҫ��켣�㹻��
//�����������Dz���
if(p->length>5) //�����ȳ���13�������˶������� //***����***//
{
if(p->head->y-p->tail->y<0) //���ĵ�����������180���ж�Ϊ����
{
(*in_num)++;
(*fit)=0;
}
else
{
(*out_num)++;
(* fit)=1;
if((*(in_num))>0)
(*in_num)--;
}
}
release_Movobj(p);
cvReleaseKalman(&p->kalman);
delete p;
return head;
}
//�����˶�����ṹ��
Movingobject* add_Movobj(Movingobject*head,Movingobject*p)
{
Movingobject*t=head;
if(head==NULL)
head=p;
else
{
while(t->next!=NULL)
t=t->next;
t->next=p;
}
return head;
}
//��������㺯��,�ú���������������
int cal_distance(int x1,int y1,int x2,int y2)
{
return (int)sqrt((x1-x2)*(x1-x2)+(y1-y2)*(y1-y2));
}
void shorten_objlist(Movingobject*head)
{
if(head!=NULL)
{
Movingobject*t=head;
while(t!=NULL)
{
if(t->length>200) //�������ij���
{
ObjectList *t1=t->head->next,*t2=NULL;
while(t1!=NULL)
{
t2=t1;
t1=t1->next;
delete t2;
}
t->head->next=NULL;
t->tail=t->head;
}
t=t->next;
}
}
}
//���������������켣���Ƚϳ����˶��������ǰ�����д�������Ϊ�����Ÿ��ʴ�
//����ͨ�����岢���Ǻܶ࣬���Բ���ѡ������ķ���
void sort_obj(Movingobject *head)
{
Movingobject *sorted,*unsorted,*max,*upmax;
if(head)
{
unsorted=head;
sorted=NULL;
int labelnum;
while(unsorted->next)
{
max=unsorted;
Movingobject *temp=unsorted->next;
while(temp)
{
if(max->length<temp->length)
max=temp;
temp=temp->next;
}
if(unsorted==max)
sorted=unsorted; //����ѡ�����ķ���ǰ�漴��
else
{
upmax=unsorted;
while(upmax->next!=max)
upmax=upmax->next;
upmax->next=max->next;
if(sorted==NULL)
{
max->next=head;
head=sorted=max;
}
else
{
sorted->next=max;
max->next=unsorted;
sorted=max;
}
}
unsorted=sorted->next;
}
//Ϊ�˶������������е�λ�����±��
sorted=head;
labelnum=1;
while(sorted)
{
sorted->label=labelnum;
labelnum++;
sorted=sorted->next;
}
}
}
//������Ұ�е�������
int cal_people_in_sight(Movingobject*head)
{
if(head==NULL)
return 0;
else
{
int number=0;
Movingobject*t=head;
while(t!=NULL)
{
if(t->length>=5)
number++;
t=t->next;
}
return number;
}
}
//�켣Ԥ�⺯����Ԥ��ĵ����ں����ļ���
Point track_kalman_predict(Movingobject *p)
{
Point pro_position;
if(p->length<=3)
return cvPoint((p->points[0].x+p->points[1].x)/2,(p->points[0].y+p->points[1].y)/2);
else
{
//kalmanԤ��
const CvMat* prediction=cvKalmanPredict(p->kalman,0);
pro_position=cvPoint((int)prediction->data.fl[0],(int)prediction->data.fl[1]);
int dis=cal_distance((p->points[0].x+p->points[1].x)/2,(p->points[0].y+p->points[1].y)/2,
pro_position.x,pro_position.y);
if(dis>70)
return cvPoint((p->points[0].x+p->points[1].x)/2,(p->points[0].y+p->points[1].y)/2);
else
return pro_position;
}
}
//kalman�������������ʵ�ʵõ�������������kalman����
void track_predict_update(Movingobject *p,Point real_position)
{
p->measurement->data.fl[0]=(float)real_position.x;
p->measurement->data.fl[1]=(float)real_position.y;
cvKalmanCorrect( p->kalman, p->measurement );
}
//camshift���㷨������Ϊ���ٶ���ǰһ֡ͼ��͵�ǰ����ͼ�����ٵõ�������
CvRect track_camshift(Movingobject*p,IplImage *former_image,IplImage *curr_image)
{
int hdims = 16; //��ֵԽ����yueȷ������ʱ��Ҳ������
//int vmin = 10, vmax = 256, smin = 30;
float hranges_arr[] = {0,180};
float* hranges = hranges_arr;
IplImage *image = 0, *hsv = 0,*hsv_curr=0, *hue = 0, *mask = 0, *backproject = 0, *histimg = 0;
CvHistogram *hist = 0; //��ɫֱ��ͼ
CvRect selection=cvRect(p->points[0].x,p->points[1].y,
abs(p->points[1].x-p->points[0].x),abs(p->points[1].y-p->points[0].y));
//����Ȥ��������ʵ����Movingobject�еľ��ο�����
CvRect track_window; //camshift�ĸ��ٴ���
CvBox2D track_box;
CvConnectedComp track_comp;
//��ʼ��
image = cvCreateImage( cvGetSize(former_image), 8, 3 );
image->origin = former_image->origin;
hsv = cvCreateImage( cvGetSize(former_image), 8, 3 );
hsv_curr=cvCreateImage( cvGetSize(former_image), 8, 3 );
hue = cvCreateImage( cvGetSize(former_image), 8, 1 );
mask = cvCreateImage( cvGetSize(former_image), 8, 1 );
backproject = cvCreateImage( cvGetSize(former_image), 8, 1 );
hist = cvCreateHist( 1, &hdims, CV_HIST_ARRAY, &hranges, 1 );//����ֱ��ͼ
cvCopy( former_image, image, 0 );
cvCvtColor( image, hsv, CV_BGR2HSV );//ת����hsv��ɫ�ռ�
//�������Ԫ���Ƿ���������֮��
cvInRangeS( hsv, cvScalar(0,30,MIN(10,256),0),cvScalar(180,256,MAX(10,256),0), mask );
cvSplit( hsv, hue, 0, 0, 0 ); //����hsvͼ�����ͨ��
//ѡ������Ȥ���������histֱ��ͼ
float max_val = 0.f;
cvSetImageROI( hue, selection );
cvSetImageROI( mask, selection );
cvCalcHist( &hue, hist, 0, mask );
cvGetMinMaxHistValue( hist, 0, &max_val, 0, 0 );//��ȡֱ��ͼ�������ֵ
cvConvertScale( hist->bins, hist->bins, max_val ? 255. / max_val : 0., 0 );//ʹ�����Ա任ת�����飬ֱ��ͼ��һ��
cvResetImageROI( hue ); //�ͷ�ͼ��image�б��趨�ĸ���Ȥ����ROI����cvSetImageROI���Ӧ��
cvResetImageROI( mask );
track_window = selection;
//������ͼ��ķ���ͶӰͼ
cvCvtColor( curr_image, hsv_curr, CV_BGR2HSV );//ת����hsv��ɫ�ռ�
cvInRangeS( hsv_curr, cvScalar(0,30,MIN(10,256),0),
cvScalar(180,256,MAX(10,256),0), mask );
cvSplit( hsv_curr, hue, 0, 0, 0 ); //����hsvͼ�����ͨ��
cvCalcBackProject( &hue, backproject, hist );
cvAnd( backproject, mask, backproject, 0 );//���
//camshift�㷨Ӧ��
cvCamShift( backproject, track_window,
cvTermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ),
&track_comp, &track_box );
track_window = track_comp.rect;
//track_window=ChangeRect(cvRect(0,0,winWidth,winHeight),track_window);
return track_window; //����track�Ľ��
}
//ƽ��ͼʵʱ��ʾ����
void Fit_bk (IplImage *bk, int flag)
{
CvFont font;
cvInitFont(&font,CV_FONT_HERSHEY_COMPLEX_SMALL,1,1,(0,0),2,8);
if(flag==0)
{
cvLine(bk,cvPoint(695,257),cvPoint(752,257),cvScalar(0,0,255),2,8,0);//��ͷ����
cvLine(bk,cvPoint(695,257),cvPoint(700,262),cvScalar(0,0,255),2,8,0);
cvLine(bk,cvPoint(695,257),cvPoint(700,252),cvScalar(0,0,255),2,8,0);
cvCircle(bk,cvPoint(730,190),5,cvScalar(0,0,255),2);
cvRectangle(bk,cvPoint(723,195),cvPoint(737,210),cvScalar(0,0,255),2);//����
cvRectangle(bk,cvPoint(723,210),cvPoint(727,220),cvScalar(0,0,255),2);//����
cvRectangle(bk,cvPoint(734,210),cvPoint(737,220),cvScalar(0,0,255),2);//����
cvRectangle(bk,cvPoint(717,195),cvPoint(723,198),cvScalar(0,0,255),2);//���
cvRectangle(bk,cvPoint(737,195),cvPoint(741,198),cvScalar(0,0,255),2);//�ұ�
cvPutText(bk,"in",cvPoint(695,350),&font,CV_RGB(0,0,0));
}
if(flag==1)
{
cvLine(bk,cvPoint(695,257),cvPoint(752,257),cvScalar(0,0,255));
cvLine(bk,cvPoint(732,237),cvPoint(752,257),cvScalar(0,0,255));
cvLine(bk,cvPoint(732,277),cvPoint(752,257),cvScalar(0,0,255));
cvCircle(bk,cvPoint(730,190),15,cvScalar(0,0,255),2);
cvRectangle(bk,cvPoint(710,205),cvPoint(750,235),cvScalar(0,0,255),2);//����
cvRectangle(bk,cvPoint(710,235),cvPoint(720,255),cvScalar(0,0,255),2);//����
cvRectangle(bk,cvPoint(740,235),cvPoint(750,255),cvScalar(0,0,255),2);//����
cvRectangle(bk,cvPoint(700,205),cvPoint(710,210),cvScalar(0,0,255),2);//���
cvRectangle(bk,cvPoint(750,205),cvPoint(760,210),cvScalar(0,0,255),2);//�ұ�
cvPutText(bk,"out",cvPoint(695,350),&font,CV_RGB(0,0,0));
}
}