1 files changed, 0 insertions, 133 deletions
diff --git a/eye-tracking.cpp b/eye-tracking.cpp
deleted file mode 100644
index ae5cdfd..0000000
--- a/eye-tracking.cpp
+++ /dev/null
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-/**
- * eye-tracking.cpp:
- * Eye detection and tracking with OpenCV
- *
- * This program tries to detect and tracking the user's eye with webcam.
- * At startup, the program performs face detection followed by eye detection 
- * using OpenCV's built-in Haar cascade classifier. If the user's eye detected
- * successfully, an eye template is extracted. This template will be used in 
- * the subsequent template matching for tracking the eye.
- */
-#include <opencv2/imgproc/imgproc.hpp>
-#include <opencv2/highgui/highgui.hpp>
-#include <opencv2/objdetect/objdetect.hpp>
-
-cv::CascadeClassifier face_cascade;
-cv::CascadeClassifier eye_cascade;
-
-/**
- * Function to detect human face and the eyes from an image.
- *
- * @param  im    The source image
- * @param  tpl   Will be filled with the eye template, if detection success.
- * @param  rect  Will be filled with the bounding box of the eye
- * @return zero=failed, nonzero=success
- */
-int detectEye(cv::Mat& im, cv::Mat& tpl, cv::Rect& rect)
-{
-	std::vector<cv::Rect> faces, eyes;
-	face_cascade.detectMultiScale(im, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, cv::Size(30,30));
-
-	for (int i = 0; i < faces.size(); i++)
-	{
-		cv::Mat face = im(faces[i]);
-		eye_cascade.detectMultiScale(face, eyes, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, cv::Size(20,20));
-
-		if (eyes.size())
-		{
-			rect = eyes[0] + cv::Point(faces[i].x, faces[i].y);
-			tpl  = im(rect);
-		}
-	}
-
-	return eyes.size();
-}
-
-/**
- * Perform template matching to search the user's eye in the given image.
- *
- * @param   im    The source image
- * @param   tpl   The eye template
- * @param   rect  The eye bounding box, will be updated with the new location of the eye
- */
-void trackEye(cv::Mat& im, cv::Mat& tpl, cv::Rect& rect)
-{
-	cv::Size size(rect.width * 2, rect.height * 2);
-	cv::Rect window(rect + size - cv::Point(size.width/2, size.height/2));
-	
-	window &= cv::Rect(0, 0, im.cols, im.rows);
-
-	cv::Mat dst(window.width - tpl.rows + 1, window.height - tpl.cols + 1, CV_32FC1);
-	cv::matchTemplate(im(window), tpl, dst, CV_TM_SQDIFF_NORMED);
-
-	double minval, maxval;
-	cv::Point minloc, maxloc;
-	cv::minMaxLoc(dst, &minval, &maxval, &minloc, &maxloc);
-
-	if (minval <= 0.2)
-	{
-		rect.x = window.x + minloc.x;
-		rect.y = window.y + minloc.y;
-	}
-	else
-		rect.x = rect.y = rect.width = rect.height = 0;
-}
-
-int main(int argc, char** argv)
-{
-	// Load the cascade classifiers
-	// Make sure you point the XML files to the right path, or 
-	// just copy the files from [OPENCV_DIR]/data/haarcascades directory
-	face_cascade.load("haarcascade_frontalface_alt2.xml");
-	eye_cascade.load("haarcascade_eye.xml");
-
-	// Open webcam
-	cv::VideoCapture cap(0);
-
-	// Check if everything is ok
-	if (face_cascade.empty() || eye_cascade.empty() || !cap.isOpened())
-		return 1;
-
-	// Set video to 320x240
-	cap.set(CV_CAP_PROP_FRAME_WIDTH, 320);
-	cap.set(CV_CAP_PROP_FRAME_HEIGHT, 240);
-
-	cv::Mat frame, eye_tpl;
-	cv::Rect eye_bb;
-
-	while (cv::waitKey(15) != 'q')
-	{
-		cap >> frame;
-		if (frame.empty())
-			break;
-
-		// Flip the frame horizontally, Windows users might need this
-		cv::flip(frame, frame, 1);
-
-		// Convert to grayscale and 
-		// adjust the image contrast using histogram equalization
-		cv::Mat gray;
-		cv::cvtColor(frame, gray, CV_BGR2GRAY);
-
-		if (eye_bb.width == 0 && eye_bb.height == 0)
-		{
-			// Detection stage
-			// Try to detect the face and the eye of the user
-			detectEye(gray, eye_tpl, eye_bb);
-		}
-		else
-		{
-			// Tracking stage with template matching
-			trackEye(gray, eye_tpl, eye_bb);
-
-			// Draw bounding rectangle for the eye
-			cv::rectangle(frame, eye_bb, CV_RGB(0,255,0));
-		}
-
-		// Display video
-		cv::imshow("video", frame);
-	}
-
-	return 0;
-}
-