Hi, I am new to OpenCV and I tried my first coding. It is about an object tracking that I entirely copied from the following video.https://www.youtube.com/watch?v=2i2bt-YSlYQ&feature=youtube_gdata_player
The webcam is working, but, there is no video displayed. Instead, the following message appears: Unhandled exception at 0x02312a3b in Tracker_1.exe: 0xC0000096: Privileged instruction.
Could anyone help me? I have no idea what happens.
Here is the coding.
// Tracker_1.cpp
include<opencv cvaux.h="">
include<opencv highgui.h="">
include<opencv cxcore.h="">
include<stdio.h>
include<stdlib.h>
/////////////////////////////: int main(int argc, char* argv[]) { CvSize size640x480 = cvSize(640, 480); // use a 640 x 480 size for all windows =, also make sure your webcam is set to 640x480 !!
CvCapture* p_capWebcam; // we will assign our web cam videostream to this later . . .
IplImage* p_imgOriginal; // pointer to an image structure, this will be the input image from webcam.
IplImage* p_imgProcessed; // pointer to an image structure, this will be the processed image.
/* IPL is short for Intel Image Processing Librart, this is the structure used in OpenCV.1.x to work with images */
CvMemStorage* p_strStorage; // Necessary storage variable to pass into cvHoughCircles()
CvSeq* p_seqCircles; // Pointer to an OpenCV sequence, will be returned by cvHoughCircles() and will contain all circles.
// Call cvGetSeqElem(p_seqCircles, i) will return a 3 element array of the ith circle (see next variable).
float* p_fltXYRadius; // Pointer to a 3 element array floats.
// [0] => x position of detected object.
// [1] => y position of detected object.
// [2] => Radius of detected object.
int i; // Loop counter.
char charCheckForEscKey; // Char for checking key press (Esc exits program).
p_capWebcam = cvCaptureFromCAM(0); // 0 => use lst webcam, may have to change to a different number if you have multiple cameras.
if(p_capWebcam == NULL) // If capture was not successful . . .
{
printf("error: capture is NULL /n"); // Eror message to standard out . . .
getchar(); // getchar() to pause for user see message.
return(-1); // Exit program.
}
// Declare 2 windows.
cvNamedWindow("Original", CV_WINDOW_AUTOSIZE); // Original image from webcam.
cvNamedWindow("Processed", CV_WINDOW_AUTOSIZE); // The processed image we will use dor detectiing circles.
p_imgProcessed = cvCreateImage(size640x480, // 640 x 480 pixels (CvSize struct from earlier)
IPL_DEPTH_8U, // 8-bit color depth.
1); // 1 channel (grayscale), if this was a color image, use 3
while(1) // For each frame . . .
{
p_imgOriginal = cvQueryFrame(p_capWebcam); // Get fram from webcam.
if(p_imgOriginal == NULL) // If frame was not captures succesfully . . .
{
printf("Error: frame is NULL \n"); // Error message to std out.
getchar();
break;
}
cvInRangeS(p_imgOriginal, // function input.
CV_RGB(175, 0, 0), // min filtering value (if color is greater thar or equal to this)
CV_RGB(256, 100, 100), // max filtering value (if color is less than this)
p_imgProcessed); // function output.
// Smooth the processed image, this will make it easier for the next function to pick out the circles.
cvSmooth(p_imgProcessed, // Function input.
p_imgProcessed, // Function output.
CV_GAUSSIAN, // Use Gaussian filter (average nearby pixels, with the closest pixels weighted more).
9, // Smoothing filter window width.
9); // Smoothing filter window height.
// Fill sequential structure with all circles in processed image.
p_seqCircles = cvHoughCircles(p_imgProcessed, // Input image, nothe that this has to be grascale (no color).
p_strStorage, // Provide function with memory storage, makes function return a pointer to a CvSeq.
CV_HOUGH_GRADIENT,// Two-pass algorithm for detecting circles, this is the only choice available.
2, // Size of image / 2 = "accumulator resolution", i.e. accum = res = size of image / 2.
p_imgProcessed->height / 4, // Min distance in pixels between the centers of the detected circles.
100, // High threshold of Canny edge detector, called by cvHoughCircles.
50, // Low threshold of Canny edge detector, called by cvHoughCircles.
10, // Min circle radius in pixels.
400); // Max circle radius, in pixels.
for(i=0; i < p_seqCircles->total; i++) // For each element in sequential circles structure (i.e. for each object detected).
{
p_fltXYRadius = (float*)cvGetSeqElem(p_seqCircles, i); // From the sequential structure, read the ith value into a pointer to a float.
printf("Ball position x = %f, y = %f, r = %f \n", p_fltXYRadius[0], // X position of center point of circle.
p_fltXYRadius[1], // Y position of center point of circle.
p_fltXYRadius[2]), // Radius of circle.
// Draw a small green circle at center of detected object
cvCircle(p_imgOriginal, // Draw on the original image.
cvPoint(cvRound(p_fltXYRadius[0]), cvRound(p_fltXYRadius[1])), // Center point of circle.
3, // 3 pixels radius of circle.
CV_RGB(0, 255, 0), // Draw pure green.
CV_FILLED); // Thickness. Fill in the circle.
// Draw a red circle arround the detected object.
cvCircle(p_imgOriginal, // Draw on the original image.
cvPoint(cvRound(p_fltXYRadius[0]), cvRound(p_fltXYRadius[1])), // Center point of circle.
cvRound(p_fltXYRadius[2]), // Radius of circle in pixels.
CV_RGB(255, 0, 0), // Draw pure red.
3); // Thickness of circle in pixels.
} // Enf for.
cvShowImage("Original", p_imgOriginal); // Original image with detected ball overlay.
cvShowImage("Processed", p_imgProcessed); // Image after processing.
cvReleaseMemStorage(&p_strStorage); // Deallocated necessary storage variable to pass into cvHoughCircles.
charCheckForEscKey = cvWaitKey(10); // Delay (in ms), and get key press, if any.
if(charCheckForEscKey == 27) break; // If Esc key (ASCII 27) was pressed, jump out of while loop.
} // End while.
cvReleaseCapture(&p_capWebcam); // Release memory as applicable.
cvDestroyWindow("Original");
cvDestroyWindow("Processed");
return(0);
}
Thank you by advance.
