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When I used the HOGDetector to do my pedestrain detection, the program was interrupted (it can run at the beginning) and told me that "Debug Assertion Failed" "Expression: _CrtIsValidHeapPointer(pUserData)" . The environment is VS2012+OpenCV 2.4.3. And this is my code. The attaachment is the picture that I used.

 #include "opencv2/imgproc/imgproc.hpp"
 #include "opencv2/objdetect/objdetect.hpp"
 #include "opencv2/highgui/highgui.hpp"
 #include "iostream"
using namespace cv;
using namespace std;
int main()
{
Mat img;
 
vector<rect> found, found_filtered;
 
string namepic="street.png";
img = imread(namepic);
 
HOGDescriptor hog;
hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());
 
namedWindow("people detector", 1);
cout<<namepic&lt;<endl; fflush(stdout);="" <="" p="">

// 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);
 
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.width0.1);
    r.width = cvRound(r.width0.8);
    r.y += cvRound(r.height0.07);
    r.height = cvRound(r.height0.8);
    rectangle(img, r.tl(), r.br(), cv::Scalar(0,255,0), 3);
}
imshow("people detector", img);
return 0;
}
 

When I used the HOGDetector to do my pedestrain detection, the program was interrupted (it can run at the beginning) and told me that "Debug Assertion Failed" "Expression: _CrtIsValidHeapPointer(pUserData)" . The environment is VS2012+OpenCV VS2012+OpenCstreet.pngV 2.4.3. And this is my code. The attaachment is the picture that I used.

 #include "opencv2/imgproc/imgproc.hpp"
 #include "opencv2/objdetect/objdetect.hpp"
 #include "opencv2/highgui/highgui.hpp"
 #include "iostream"
using namespace cv;
using namespace std;
int main()
{
Mat img;
 
vector<rect> found, found_filtered;
 
string namepic="street.png";
img = imread(namepic);
 
HOGDescriptor hog;
hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());
 
namedWindow("people detector", 1);
cout<<namepic&lt;<endl; fflush(stdout);="" <="" p="">

// 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);
 
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.width0.1);
    r.width = cvRound(r.width0.8);
    r.y += cvRound(r.height0.07);
    r.height = cvRound(r.height0.8);
    rectangle(img, r.tl(), r.br(), cv::Scalar(0,255,0), 3);
}
imshow("people detector", img);
return 0;
}
 

When I used the HOGDetector to do my pedestrain detection, the program was interrupted (it can run at the beginning) and told me that "Debug Assertion Failed" "Expression: _CrtIsValidHeapPointer(pUserData)" . The environment is VS2012+OpenCstreet.pngV VS2012+OpenCV 2.4.3. And this is my code. The attaachment is the picture that I used. street.png

 #include "opencv2/imgproc/imgproc.hpp"
 #include "opencv2/objdetect/objdetect.hpp"
 #include "opencv2/highgui/highgui.hpp"
 #include "iostream"
using namespace cv;
using namespace std;
int main()
{
Mat img;
 
vector<rect> found, found_filtered;
 
string namepic="street.png";
img = imread(namepic);
 
HOGDescriptor hog;
hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());
 
namedWindow("people detector", 1);
cout<<namepic&lt;<endl; fflush(stdout);="" <="" p="">

// 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);
 
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.width0.1);
    r.width = cvRound(r.width0.8);
    r.y += cvRound(r.height0.07);
    r.height = cvRound(r.height0.8);
    rectangle(img, r.tl(), r.br(), cv::Scalar(0,255,0), 3);
}
imshow("people detector", img);
return 0;
}