手势识别代码以及部分原理

}
void displayCallback(IplImage* img, hvAction action)
{
if (sync_display) {
cvCopy(img, display_image);
} else {
showFrame(img, action);
}
}
int main( int argc, char** argv )
* recognition.
* Copyright (C) 2004 Mathias Kolsch, matz@
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
}
/* 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?");
#include <cv.h>
#include <highgui.h>
#include <ctype.h>
#include <time.h>
#include "HandVu.h"
IplImage *capture_image = 0;
IplImage *display_image = 0;
if( argc == 2 || argc == 3) {
int num = 0;
if (argc==3) {
num = atoi(argv[2]);
}
capture = cvCaptureFromCAM( num );
if (!capture) {
capture = cvCaptureFromAVI( argv[2] );
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( !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"
// processing 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;
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
*
* 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,
// printf("HandVuFilter: dropping frame\n");
return;
} else if (action==HV_SKIP_FRAME) {
// HandVu recommends displaying the frame, but not doing any further
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 ( !capture_image ) {
fprintf(stderr,"Could not retrieve image through OpenCV.\n");
return -1;
}
/* allocate all the buffers */
CvSize size = cvGetSize(capture_image);
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
{
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);
* 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,
}
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;
/* 设置同步／异步识别 */
if (async_processing) {
hvAsyncSetup(num_async_bufs, displayCallback);
if (sync_display) display_image = cvCloneImage(capture_image);
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*/ )
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 );
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
if( sel_area_right-sel_area_left > 0 && sel_area_ttom-sel_area_top> 0 )