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【OpenCV学习】利用HandVu进行手部动作识别分析
阅读量:5754 次
发布时间:2019-06-18

本文共 6381 字,大约阅读时间需要 21 分钟。

作者: 

出处:

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。

/*** HandVu - a library for computer vision-based hand gesture* recognition.* Copyright (C) 2004 Mathias Kolsch, matz@cs.ucsb.edu** 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 // 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; // 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;}

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