OpenCV的行人识别&人脸识别

之前运行haar特征的adaboost算法人脸检测一直出错，加上今天的HOG&SVM行人检测程序，一直报错。

今天总算发现自己犯了多么白痴的错误——是因为外部依赖项lib文件没有添加完整，想一头囊死啊

做程序一定要心如止水！！！ 仔细查找！！！

1.人脸识别程序：

#include "cv.h"#include "highgui.h"#include <stdio.h>#include <stdlib.h>#include <string.h>#include <assert.h>#include <math.h>#include <float.h>#include <limits.h>#include <time.h>#include <ctype.h>using namespace std;static CvMemStorage* storage = 0;static CvHaarClassifierCascade* cascade = 0;void detect_and_draw( IplImage* image );const char* cascade_name ="G:/OpenCV2.3.1/data/haarcascades/haarcascade_frontalface_alt.xml";/* "haarcascade_profileface.xml";*/int main(){CvCapture* capture = 0;cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );if( !cascade ){fprintf( stderr, "ERROR: Could not load classifier cascade/n" );//fprintf( stderr,//"Usage: facedetect --cascade=/"<cascade_path>"/[filename|camera_index]/n" );return -1;}storage = cvCreateMemStorage(0);cvNamedWindow( "result", 1 );const char* filename = "H:/test/face05.jpg";IplImage* image = cvLoadImage(filename );if( image ){detect_and_draw( image );cvWaitKey(0);cvReleaseImage( &image );}cvDestroyWindow("result");cvWaitKey(0);return 0;}void detect_and_draw( IplImage* img ){static CvScalar colors[] = {{{0,0,255}},{{0,128,255}},{{0,255,255}},{{0,255,0}},{{255,128,0}},{{255,255,0}},{{255,0,0}},{{255,0,255}}};double scale = 1.3;IplImage* gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 );IplImage* small_img = cvCreateImage( cvSize( cvRound (img->width/scale),cvRound (img->height/scale)),8, 1 );int i;cvCvtColor( img, gray, CV_BGR2GRAY );cvResize( gray, small_img, CV_INTER_LINEAR );cvEqualizeHist( small_img, small_img );cvClearMemStorage( storage );if( cascade ){double t = (double)cvGetTickCount();CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage,1.1, 2, 0/*CV_HAAR_DO_CANNY_PRUNING*/,cvSize(30, 30) );t = (double)cvGetTickCount() - t;printf( "detection time = %gms/n", t/((double)cvGetTickFrequency()*1000.) );for( i = 0; i < (faces ? faces->total : 0); i++ ){CvRect* r = (CvRect*)cvGetSeqElem( faces, i );CvPoint center;int radius;center.x = cvRound((r->x + r->width*0.5)*scale);center.y = cvRound((r->y + r->height*0.5)*scale);radius = cvRound((r->width + r->height)*0.25*scale);cvCircle( img, center, radius, colors[i%8], 3, 8, 0 );}}cvShowImage( "result", img );cvReleaseImage( &gray );cvReleaseImage( &small_img );} 

 

2.行人检测程序

#include <cv.h> #include <highgui.h>   #include <string> #include <iostream> #include <algorithm> #include <iterator>#include <stdio.h>#include <string.h>#include <ctype.h>using namespace cv;using namespace std;void help(){printf("\nDemonstrate the use of the HoG descriptor using\n""  HOGDescriptor::hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());\n""Usage:\n""./peopledetect (<image_filename> | <image_list>.txt)\n\n");}int main(int argc, char** argv){    Mat img;    FILE* f = 0;    char _filename[1024];    if( argc == 1 )    {        printf("Usage: peopledetect (<image_filename> | <image_list>.txt)\n");        return 0;    }    img = imread(argv[1]);    if( img.data )    {    strcpy(_filename, argv[1]);    }    else    {        f = fopen(argv[1], "rt");        if(!f)        {    fprintf( stderr, "ERROR: the specified file could not be loaded\n");    return -1;    }    }    HOGDescriptor hog;    hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());//得到检测器    namedWindow("people detector", 1);    for(;;)    {    char* filename = _filename;    if(f)    {    if(!fgets(filename, (int)sizeof(_filename)-2, f))    break;    //while(*filename && isspace(*filename))    //++filename;    if(filename[0] == '#')    continue;    int l = strlen(filename);    while(l > 0 && isspace(filename[l-1]))    --l;    filename[l] = '\0';    img = imread(filename);    }    printf("%s:\n", filename);    if(!img.data)    continue;    fflush(stdout);    vector<Rect> found, found_filtered;    double t = (double)getTickCount();    // run the detector with default parameters. to get a higher hit-rate    // (and more false alarms, respectively), decrease the hitThreshold and    // groupThreshold (set groupThreshold to 0 to turn off the grouping completely).    hog.detectMultiScale(img, found, 0, Size(8,8), Size(32,32), 1.05, 2);    t = (double)getTickCount() - t;    printf("tdetection time = %gms\n", t*1000./cv::getTickFrequency());    size_t i, j;    for( i = 0; i < found.size(); i++ )    {    Rect r = found[i];    for( j = 0; j < found.size(); j++ )    if( j != i && (r & found[j]) == r)    break;    if( j == found.size() )    found_filtered.push_back(r);    }    for( i = 0; i < found_filtered.size(); i++ )    {    Rect r = found_filtered[i];    // the HOG detector returns slightly larger rectangles than the real objects.    // so we slightly shrink the rectangles to get a nicer output.    r.x += cvRound(r.width*0.1);    r.width = cvRound(r.width*0.8);    r.y += cvRound(r.height*0.07);    r.height = cvRound(r.height*0.8);    rectangle(img, r.tl(), r.br(), cv::Scalar(0,255,0), 3);    }    imshow("people detector", img);    int c = waitKey(0) & 255;    if( c == 'q' || c == 'Q' || !f)            break;    }    if(f)        fclose(f);    return 0;}

注意：可能会出现tbb_debug.dll的问题，在G:\OpenCV2.3.1\build\common\tbb\ia32\vc10中找到tbb.dll改名为tbb_debug.dll 加到程序绝对目录下即可

还有其他的解决方式：http://blog.csdn.net/scut1135/article/details/7329398