I am looking for implementation of human motion tracking, also discussed about in multiple moving object detection extracted from several video frames using differential analysis and lukas kanade optical method.
I found scientific papers and found that we have to use connected components filtering connected components for continuous motion tracking, but I do not understand how to go about this process. All I need are the skeletonization trajectory and the coordinates of human gait motion.
I am working in Opencv and C++, but the documentation in opencv for object detection won't suffice in my case. I am from medical background and need this is a part of a paediatrician project.
I found this code motion detection and was trying to execute it (don not know if it detects and tracks motion, yet). However, it returns these errors and I am perplexed for the errors are trivial and other comments mention that they are able to run this code. But I cannot mitigate these erros nor can I understand the reason for them occuring. I am using OpenCv2.3 and following are the errors
- Cannot open surce file stdafx.h
- warning C4996: 'fopen': This function or variable may be unsafe. Consider using fopen_s instead. To disable deprecation, use _CRT_SECURE_NO_WARNINGS. See online help for details.
- error C2086: 'CvSize imgSize' : redefinition
- error C2065: 'temp' : undeclared identifier
- error C4430: missing type specifier - int assumed. Note: C++ does not support default-int
- error C2365: 'cvReleaseImage' : redefinition; previous definition was 'function' 1> c:\opencv2.3\opencv\build\include\opencv2\core\core_c.h(87) : see declaration of 'cvReleaseImage'
- error C2065: 'difference' : undeclared identifier
- error C4430: missing type specifier - int assumed. Note: C++ does not support default-int
- error C2365: 'cvReleaseImage' : redefinition; previous definition was 'function' 1> c:\opencv2.3\opencv\build\include\opencv2\core\core_c.h(87) : see declaration of 'cvReleaseImage'
- error C2065: 'greyImage' : undeclared identifier
- error C4430: missing type specifier - int assumed. Note: C++ does not support default-int
- error C2365: 'cvReleaseImage' : redefinition; previous definition was 'function'
- \opencv2.3\opencv\build\include\opencv2\core\core_c.h(87) : see declaration of 'cvReleaseImage' error C2065: 'movingAverage' : undeclared identifier -error C4430: missing type specifier - int assumed. Note: C++ does not support default-int -error C2365: 'cvReleaseImage' : redefinition; previous definition was 'function' -1> c:\opencv2.3\opencv\build\include\opencv2\core\core_c.h(87) : see declaration of 'cvReleaseImage' -error C4430: missing type specifier - int assumed. Note: C++ does not support default-int -error C2365: 'cvDestroyWindow' : redefinition; previous definition was 'function'
- c:\opencv2.3\opencv\build\include\opencv2\highgui\highgui_c.h(136) : see declaration of 'cvDestroyWindow'
- error C2440: 'initializing' : cannot convert from 'const char [10]' to 'int' -1> There is no context in which this conversion is possible -error C2065: 'input' : undeclared identifier -error C4430: missing type specifier - int assumed. Note: C++ does not support default-int
- error C2365: 'cvReleaseCapture' : redefinition; previous definition was 'function' -1> c:\opencv2.3\opencv\build\include\opencv2\highgui\highgui_c.h(311) : see declaration of 'cvReleaseCapture' -error C2065: 'outputMovie' : undeclared identifier
- error C4430: missing type specifier - int assumed. Note: C++ does not support default-int -error C2365: 'cvReleaseVideoWriter' : redefinition; previous definition was 'function' -1 c:\opencv2.3\opencv\build\include\opencv2\highgui\highgui_c.h(436) : see declaration of 'cvReleaseVideoWriter' -error C2059: syntax error : 'return' ========== Build: 0 succeeded, 1 failed, 0 up-to-date, 0 skipped ==========
CODE
// MotionDetection.cpp : Defines the entry point for the console application. // // Contourold.cpp : Defines the entry point for the console application. // #include "stdafx.h" #include "iostream" #include "stdlib.h" // OpenCV includes. #include "cv.h" #include "highgui.h" #pragma comment(lib,"cv.lib") #pragma comment(lib,"cxcore.lib") #pragma comment(lib,"highgui.lib") using namespace std; int main(int argc, char* argv[]) { //Create a new window. cvNamedWindow("My Window", CV_WINDOW_AUTOSIZE); //Create a new movie capture object. CvCapture *input; //Assign the movie to capture. //inputMovie = cvCaptureFromAVI("vinoth.avi"); char *fileName = "E:\\highway.avi"; //char *fileName = "D:\\Profile\\AVI\\cardriving.wmv"; input = cvCaptureFromFile(fileName); //if (!input) //cout << "Can't open file" << fileName < ; //Size of the image. CvSize imgSize; IplImage* frame = cvQueryFrame(input); CvSize imgSize = cvGetSize(frame); //Images to use in the program. IplImage* greyImage = cvCreateImage( imgSize, IPL_DEPTH_8U, 1); IplImage* colourImage; IplImage* movingAverage = cvCreateImage( imgSize, IPL_DEPTH_32F, 3); IplImage* difference; IplImage* temp; IplImage* motionHistory = cvCreateImage( imgSize, IPL_DEPTH_8U, 3); //Rectangle to use to put around the people. CvRect bndRect = cvRect(0,0,0,0); //Points for the edges of the rectangle. CvPoint pt1, pt2; //Create a font object. CvFont font; //Create video to output to. char* outFilename = argc==2 ? argv[1] : "E:\\outputMovie.avi"; CvVideoWriter* outputMovie = cvCreateVideoWriter(outFilename, CV_FOURCC('F', 'L', 'V', 'I'), 29.97, cvSize(720, 576)); //Capture the movie frame by frame. int prevX = 0; int numPeople = 0; //Buffer to save the number of people when converting the integer //to a string. char wow[65]; //The midpoint X position of the rectangle surrounding the moving objects. int avgX = 0; //Indicates whether this is the first time in the loop of frames. bool first = true; //Indicates the contour which was closest to the left boundary before the object //entered the region between the buildings. int closestToLeft = 0; //Same as above, but for the right. int closestToRight = 320; //Keep processing frames... for(;;) { //Get a frame from the input video. colourImage = cvQueryFrame(input); //If there are no more frames, jump out of the for. if( !colourImage ) { break; } //If this is the first time, initialize the images. if(first) { difference = cvCloneImage(colourImage); temp = cvCloneImage(colourImage); cvConvertScale(colourImage, movingAverage, 1.0, 0.0); first = false; } //else, make a running average of the motion. else { cvRunningAvg(colourImage, movingAverage, 0.020, NULL); } //Convert the scale of the moving average. cvConvertScale(movingAverage,temp, 1.0, 0.0); //Minus the current frame from the moving average. cvAbsDiff(colourImage,temp,difference); //Convert the image to grayscale. cvCvtColor(difference,greyImage,CV_RGB2GRAY); //Convert the image to black and white. cvThreshold(greyImage, greyImage, 70, 255, CV_THRESH_BINARY); //Dilate and erode to get people blobs cvDilate(greyImage, greyImage, 0, 18); cvErode(greyImage, greyImage, 0, 10); //Find the contours of the moving images in the frame. CvMemStorage* storage = cvCreateMemStorage(0); CvSeq* contour = 0; cvFindContours( greyImage, storage, &contour, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE ); //Process each moving contour in the current frame... for( ; contour != 0; contour = contour->h_next ) { //Get a bounding rectangle around the moving object. bndRect = cvBoundingRect(contour, 0); pt1.x = bndRect.x; pt1.y = bndRect.y; pt2.x = bndRect.x + bndRect.width; pt2.y = bndRect.y + bndRect.height; //Get an average X position of the moving contour. avgX = (pt1.x + pt2.x) / 2; //If the contour is within the edges of the building... if(avgX > 90 && avgX < 250) { //If the the previous contour was within 2 of the left boundary... if(closestToLeft >= 88 && closestToLeft <= 90) { //If the current X position is greater than the previous... if(avgX > prevX) { //Increase the number of people. numPeople++; //Reset the closest object to the left indicator. closestToLeft = 0; } } //else if the previous contour was within 2 of the right boundary... else if(closestToRight >= 250 && closestToRight <= 252) { //If the current X position is less than the previous... if(avgX < prevX) { //Increase the number of people. numPeople++; //Reset the closest object to the right counter. closestToRight = 320; } } //Draw the bounding rectangle around the moving object. cvRectangle(colourImage, pt1, pt2, CV_RGB(255,0,0), 1); } //If the current object is closer to the left boundary but still not across //it, then change the closest to the left counter to this value. if(avgX > closestToLeft && avgX <= 90) { closestToLeft = avgX; } //If the current object is closer to the right boundary but still not across //it, then change the closest to the right counter to this value. if(avgX < closestToRight && avgX >= 250) { closestToRight = avgX; } //Save the current X value to use as the previous in the next iteration. prevX = avgX; } //Save the current X value to use as the previous in the next iteration. prevX = avgX; } //Write the number of people counted at the top of the output frame. cvInitFont(&font, CV_FONT_HERSHEY_SIMPLEX, 0.8, 0.8, 0, 2); cvPutText(colourImage, _itoa(numPeople, wow, 10), cvPoint(60, 200), &font, cvScalar(0, 0, 300)); //Show the frame. cvShowImage("My Window", colourImage); //Wait for the user to see it. cvWaitKey(10); //Write the frame to the output movie. cvWriteFrame(outputMovie, colourImage); } // Destroy the image, movies, and window. cvReleaseImage(&temp); cvReleaseImage(&difference); cvReleaseImage(&greyImage); cvReleaseImage(&movingAverage); cvDestroyWindow("My Window"); cvReleaseCapture(&input); cvReleaseVideoWriter(&outputMovie); return 0; }
- Kindly help to resolve the errors and issues.
- How to do motion (human) tracking which returns the coordinates of the trajectories probably by skeletonization method.
