Simple Vehicle Tracking/Detection System (C++) OpenCV | Windows 10 | x64 | Visual Studio 2015

 
//Code from pythonopencv.com
//Vehicle detection program
 
#include <opencv2/opencv.hpp>
#include <iostream>
 
const int KEY_SPACE = 32;
const int KEY_ESC = 27;
 
CvHaarClassifierCascade *cascade;
CvMemStorage            *storage;
 
void detect(IplImage *img);
 
int main(int argc, char** argv)
{
	std::cout << "Using OpenCV " << CV_MAJOR_VERSION << "." << CV_MINOR_VERSION << "." << CV_SUBMINOR_VERSION << std::endl;
 
	CvCapture *capture;
	IplImage  *frame;
	int input_resize_percent = 100;
 
	if (argc < 3)
	{
		std::cout << "Usage " << argv[0] << " cascade.xml video.avi" << std::endl;
		return 0;
	}
 
	if (argc == 4)
	{
		input_resize_percent = atoi(argv[3]);
		std::cout << "Resizing to: " << input_resize_percent << "%" << std::endl;
	}
 
	cascade = (CvHaarClassifierCascade*)cvLoad(argv[1], 0, 0, 0);
	storage = cvCreateMemStorage(0);
	capture = cvCaptureFromAVI(argv[2]);
 
	assert(cascade && storage && capture);
 
	cvNamedWindow("video", 1);
 
	IplImage* frame1 = cvQueryFrame(capture);
	frame = cvCreateImage(cvSize((int)((frame1->width*input_resize_percent) / 100), (int)((frame1->height*input_resize_percent) / 100)), frame1->depth, frame1->nChannels);
 
	int key = 0;
	do
	{
		frame1 = cvQueryFrame(capture);
 
		if (!frame1)
			break;
 
		cvResize(frame1, frame);
 
		detect(frame);
 
		key = cvWaitKey(33);
 
		if (key == KEY_SPACE)
			key = cvWaitKey(0);
 
		if (key == KEY_ESC)
			break;
 
	} while (1);
 
	cvDestroyAllWindows();
	cvReleaseImage(&frame);
	cvReleaseCapture(&capture);
	cvReleaseHaarClassifierCascade(&cascade);
	cvReleaseMemStorage(&storage);
 
	return 0;
}
 
void detect(IplImage *img)
{
	CvSize img_size = cvGetSize(img);
	CvSeq *object = cvHaarDetectObjects(
		img,
		cascade,
		storage,
		1.1, //1.1,//1.5, //-------------------SCALE FACTOR
		1, //2        //------------------MIN NEIGHBOURS
		0, //CV_HAAR_DO_CANNY_PRUNING
		cvSize(0, 0),//cvSize( 30,30), // ------MINSIZE
		img_size //cvSize(70,70)//cvSize(640,480)  //---------MAXSIZE
	);
 
	std::cout << "Total: " << object->total << " cars detected." << std::endl;
	for (int i = 0; i < (object ? object->total : 0); i++)
	{
		CvRect *r = (CvRect*)cvGetSeqElem(object, i);
		cvRectangle(img,
			cvPoint(r->x, r->y),
			cvPoint(r->x + r->width, r->y + r->height),
			CV_RGB(255, 0, 0), 2, 8, 0);
	}
 
	cvShowImage("video", img);
}

<program_name.exe> <cascade_classifier> <video_name>

vehicle_tracking.exe cars.xml video1.mov