手势识别代码以及部分原理.doc

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, * 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.hIplImage *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 framen);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 framen); else if (action=HV_PROCESS_FRAME) / full processing was done and is recommended for following steps;/ keep going/printf(HandVuFilter: processed framen); else assert(0); / unknown actionhvState 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 (argc2) printf(you need to specify a conductor file as first argumentn);printf(for example: ./config/default.conductorn);return -1;string conductor_fname(argv1);/声明配置参数的对象printf(will load conductor from file:n%sn, 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(argv2);capture = cvCaptureFromCAM( num );if (!capture) capture = cvCaptureFromAVI( argv2 ); if( !capture )fprintf(stderr,Could not initialize capturing through OpenCV.n);return -1;/* 屏显提示 */printf( Hot keys: ntESC - quit the programntr - restart the trackingnt0-3 - set the overlay (verbosity) levelnuse the mouse to select the initial detection arean );/设定采集图像大小int p = 0; / according to docs, these calls dont work in OpenCV beta 4 yetp = 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(cant open window - did you compile OpenCV with highgui support?);return -1;fprintf(stderr, initialized highguin);hvStartGestureServer(1394,10);for (;) int c;if (async_processing) / asynchronous processing in HandVuif (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 imagecapture_image = cvQueryFrame( capture );if ( !capture_image ) fprintf(st