手势识别代码以及部分原理
图像处理，
目标识别，
目标跟踪，
模式识别
OpenCV学习——利用HandVu进行手部动作识别分析（转）
2011-04-06 17:29:26| 分类： 默认分类 | 标签：opencv 手部识别 |举报|字号 订阅
/**
* HandVu - a library for computer vision-based hand gesture
* recognition.
* Copyright (C) 2004 Mathias Kolsch, matz@https://www.360docs.net/doc/0e13208581.html,
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330,
* Boston, MA 02111-1307, USA.
*
* $Id: hv_OpenCV.cpp,v 1.15 2006/01/03 21:44:15 matz Exp $
**/
#ifdef WIN32
#include
#endif
#include
#include
#include
#include
#include
#include "HandVu.h"
IplImage *capture_image = 0;
IplImage *display_image = 0;
bool async_processing = false;
int num_async_bufs = 30;
IplImage *m_async_image = 0;
int m_async_bufID = -1;
bool sync_display = true;
CvPoint origin;
int select_object = 0;
int sel_area_left=0, sel_area_top=0, sel_area_right=0, sel_area_bottom=0;
bool correct_distortion = false;
void OnMouse( int event, int x, int y, int /*flags*/, void* /*params*/ )
{
if( !capture_image )
return;
if( capture_image->origin )
y = capture_image->height - y;
if( select_object )
{
sel_area_left = MIN(x,origin.x);
sel_area_top = MIN(y,origin.y);
sel_area_right = sel_area_left + CV_IABS(x - origin.x);
sel_area_bottom = sel_area_top + CV_IABS(y - origin.y);
sel_area_left = MAX( sel_area_left, 0 );
sel_area_top = MAX( sel_area_top, 0 );
sel_area_right = MIN( sel_area_right, capture_image->width );
sel_area_bottom = MIN( sel_area_bottom, capture_image->height );
if( sel_area_right-sel_area_left > 0 && sel_area_bottom-sel_area_top> 0 )
hvSetDetectionArea(sel_area_left, sel_area_top,
sel_area_right, sel_area_bottom);
}
switch( event )
{
case CV_EVENT_LBUTTONDOWN:
origin = cvPoint(x,y);
sel_area_left = sel_area_right = x;
sel_area_top = sel_area_bottom = y;
select_object = 1;
break;
case CV_EVENT_LBUTTONUP:
select_object = 0;
break;
}
}
void showFrame(IplImage* img, hvAction action)
{
if (action==HV_DROP_FRAME) {
// HandVu recommends dropping the frame entirely
// printf("HandVuFilter: dropping frame\n");
return;
} else if (action==HV_SKIP_FRAME) {
// HandVu recommends displaying the frame, but not doing any further
// proces
sing on it - keep going
// printf("HandVuFilter: supposed to skip frame\n");
} else if (action==HV_PROCESS_FRAME) {
// full processing was done and is recommended for following steps;
// keep going
//printf("HandVuFilter: processed frame\n");
} else {
assert(0); // unknown action
}
hvState state;
hvGetState(0, state);
cvShowImage( "HandVu", img );
}
void displayCallback(IplImage* img, hvAction action)
{
if (sync_display) {
cvCopy(img, display_image);
} else {
showFrame(img, action);
}
}
int main( int argc, char** argv )
{
CvCapture* capture = 0;
if (argc<2) {
printf("you need to specify a conductor file as first argument\n");
printf("for example: ../config/default.conductor\n");
return -1;
}
string conductor_fname(argv[1]);//声明配置参数的对象
printf("will load conductor from file:\n%s\n", conductor_fname.c_str());//屏显提示
/*是否设定特定的摄像头，并初始化摄像头 */
if( argc == 2 || argc == 3) {
int num = 0;
if (argc==3) {
num = atoi(argv[2]);
}
capture = cvCaptureFromCAM( num );
if (!capture) {
capture = cvCaptureFromAVI( argv[2] );
}
}
if( !capture )
{
fprintf(stderr,"Could not initialize capturing through OpenCV.\n");
return -1;
}
/* 屏显提示 */
printf( "Hot keys: \n"
"\tESC - quit the program\n"
"\tr - restart the tracking\n"
"\t0-3 - set the overlay (verbosity) level\n"
"use the mouse to select the initial detection area\n" );
//设定采集图像大小
int p = 0; // according to docs, these calls don't work in OpenCV beta 4 yet
p = cvSetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH, 640);
p = cvSetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT, 480);
//获取一帧
capture_image = cvQueryFrame( capture );
if ( !capture_image ) {
fprintf(stderr,"Could not retrieve image through OpenCV.\n");
return -1;
}
/* allocate all the buffers */
CvSize size = cvGetSize(capture_image);
hvInitialize(size.width, size.height);//初始化要分析的图像大小
hvLoadConductor(conductor_fname);//装载参数
hvStartRecognition();//开始识别
hvSetOverlayLevel(2);//设置识别的覆盖区级别
/* 设置同步／异步识别 */
if (async_processing) {
hvAsyncSetup(num_async_bufs, displayCallback);
if (sync_display) display_image = cvCloneImage(capture_image);
}
/* 设置鼠标事件的回调参数 */
cvSetMouseCallback( "HandVu", OnMouse );
/* 设置窗口 */
int success = cvNamedWindow( "HandVu", 1 );
if (success!=1) {
printf("can't open window - did you compile OpenCV with highgui support?");
return -1;
}
fprintf(stderr, "initialized highgui\n");
hvStartGestureServer(1394,10);
for (;;) {
int c;
if (async_processing) {
// asynchronous processing in HandVu
if (sync_display) cvShowImage("HandVu", display_image);
// ------- main library call ---------
hvAsyncGetImageBuffer(&m_async_image, &m_async_bufID);
cvCopy(capture_image, m_async_image);
hvAsyncProcessFrame(m_async_bufID);
// -------
} else {//In the condition从这个分支走
// synchronous processing in HandVu
// ------- main library call ---------
hvAction action = HV_INVALID_ACTION;
action = hvProcessFrame(capture_image);
// -------
showFrame(capture_image, action);
}
c = cvWaitKey(10);
if( c == 27 || c == 'q' )
break;
switch( c )
{
case 'r':
hvStopRecognition();
hvStartRecognition();
break;
case '0':
hvSetOverlayLevel(0);
break;
case '1':
hvSetOverlayLevel(1);
break;
case '2':
hvSetOverlayLevel(2);
break;
case '3':
hvSetOverlayLevel(3);
break;
case 'u':
if (hvCanCorrectDistortion()) {
correct_distortion = !correct_distortion;
hvCorrectDistortion(correct_distortion);
}
break;
default:
;
}
// capture next image
capture_image = cvQueryFrame( capture );
if ( !capture_image ) {
fprintf(stderr,"Could not retrieve image through OpenCV.\n");
break;
}
}
cvReleaseCapture( &capture );
cvDestroyWindow("HandVu");
return 0;
}
程序的流程是：
1）先进行配置文件的读取和配置参数的载入
2）初始化摄像头或者指定的视频文件
3）显示屏显提示
4）设定采集图像大小
5）获取一帧
6）初始化要分析的图像大小
7）装载参数
8）开始识别
9）设置识别的覆盖区级别
10）设置同步／异步识别
11）设置鼠标事件的回调参数，若有鼠标事件确定区域大小
12）打开相关窗口，进入主处理循环，显示处理过的帧，并且时刻准备相应键盘事件。