OpenCV example for face detection with Haar and tracking with CamShift.

camshifting.c

#include "camshifting.h"

/* Create a camshift tracked object from a region in image. */
TrackedObj* create_tracked_object (IplImage* image, CvRect* region) {
  TrackedObj* obj;
  
  //allocate memory for tracked object struct
  if((obj = malloc(sizeof *obj)) != NULL) {
    //create-image: size(w,h), bit depth, channels
    obj->hsv  = cvCreateImage(cvGetSize(image), 8, 3);
    obj->mask = cvCreateImage(cvGetSize(image), 8, 1);
    obj->hue  = cvCreateImage(cvGetSize(image), 8, 1);
    obj->prob = cvCreateImage(cvGetSize(image), 8, 1);

    int hist_bins = 30;           //number of histogram bins
    float hist_range[] = {0,180}; //histogram range
    float* range = hist_range;
    obj->hist = cvCreateHist(1,             //number of hist dimensions
                             &hist_bins,    //array of dimension sizes
                             CV_HIST_ARRAY, //representation format
                             &range,        //array of ranges for bins
                             1);            //uniformity flag
  }
  
  //create a new hue image
  update_hue_image(image, obj);

  float max_val = 0.f;
  
  //create a histogram representation for the face
  cvSetImageROI(obj->hue, *region);
  cvSetImageROI(obj->mask, *region);
  cvCalcHist(&obj->hue, obj->hist, 0, obj->mask);
  cvGetMinMaxHistValue(obj->hist, 0, &max_val, 0, 0 );
  cvConvertScale(obj->hist->bins, obj->hist->bins,
                 max_val ? 255.0/max_val : 0, 0);
  cvResetImageROI(obj->hue);
  cvResetImageROI(obj->mask);
  
  //store the previous face location
  obj->prev_rect = *region;

  return obj;
}

/* Release resources from tracked object. */
void destroy_tracked_object (TrackedObj* obj) {
  cvReleaseImage(&obj->hsv);
  cvReleaseImage(&obj->hue);
  cvReleaseImage(&obj->mask);
  cvReleaseImage(&obj->prob);
  cvReleaseHist(&obj->hist);

  free(obj);
}

/* Given an image and tracked object, return box position. */
CvBox2D camshift_track_face (IplImage* image, TrackedObj* obj) {
  CvConnectedComp components;

  //create a new hue image
  update_hue_image(image, obj);

  //create a probability image based on the face histogram
  cvCalcBackProject(&obj->hue, obj->prob, obj->hist);
  cvAnd(obj->prob, obj->mask, obj->prob, 0);

  //use CamShift to find the center of the new face probability
  cvCamShift(obj->prob, obj->prev_rect,
             cvTermCriteria(CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1),
             &components, &obj->curr_box);

  //update face location and angle
  obj->prev_rect = components.rect;
  obj->curr_box.angle = -obj->curr_box.angle;

  return obj->curr_box;
}

void update_hue_image (const IplImage* image, TrackedObj* obj) {
  //limits for calculating hue
  int vmin = 65, vmax = 256, smin = 55;
  
  //convert to HSV color model
  cvCvtColor(image, obj->hsv, CV_BGR2HSV);
  
  //mask out-of-range values
  cvInRangeS(obj->hsv,                               //source
             cvScalar(0, smin, MIN(vmin, vmax), 0),  //lower bound
             cvScalar(180, 256, MAX(vmin, vmax) ,0), //upper bound
             obj->mask);                             //destination
  
  //extract the hue channel, split: src, dest channels
  cvSplit(obj->hsv, obj->hue, 0, 0, 0 );
}

camshifting.h

#ifndef INC_OPENCV
#define INC_OPENCV
#include <stdio.h>
#include <cv.h>
#include <highgui.h>
#endif

#ifndef INC_CAMSHIFTING
#define INC_CAMSHIFTING

typedef struct {
  IplImage* hsv;     //input image converted to HSV
  IplImage* hue;     //hue channel of HSV image
  IplImage* mask;    //image for masking pixels
  IplImage* prob;    //face probability estimates for each pixel

  CvHistogram* hist; //histogram of hue in original face image

  CvRect prev_rect;  //location of face in previous frame
  CvBox2D curr_box;  //current face location estimate
} TrackedObj;

TrackedObj* create_tracked_object (IplImage* image, CvRect* face_rect);
void destroy_tracked_object (TrackedObj* tracked_obj);
CvBox2D camshift_track_face (IplImage* image, TrackedObj* imgs);
void update_hue_image (const IplImage* image, TrackedObj* imgs);

#endif

gistfile5.sh

#compile
gcc trackface.c camshifting.c -o trackface $(pkg-config --cflags --libs opencv)

trackface.c

/** Basic OpenCV example for face detecion and tracking with CamShift.
  * First run Haar classifier face detection on every frame until finding face,
  * then switch over to CamShift using face region to track.
 **/
#include "trackface.h"
#include "camshifting.h"

#define OPENCV_DATA "/home/billy/src/opencv/opencv/data/haarcascades/"
char *classifer = OPENCV_DATA "haarcascade_frontalface_default.xml";

int main (int argc, char** argv) {
  if (argc != 2) print_help(argv[0]); //check usage
  //declare
  CvHaarClassifierCascade* cascade = 0;
  CvMemStorage* storage = 0;
  char* window_name = "haar window";
  
  //initialize
  cascade = (CvHaarClassifierCascade*) cvLoad(classifer, 0, 0, 0 );
  storage = cvCreateMemStorage(0);
  //validate
  assert(cascade && storage);

  //create window
  cvNamedWindow(window_name, CV_WINDOW_AUTOSIZE);

  CvRect* face_rect = 0;
  
  //video file?
  CvCapture* capture = cvCaptureFromFile(argv[1]);
  IplImage* image = 0;
  
  if (capture) {
    //run loop, exit on ESC
    while (1) {
      image = capture_video_frame(capture);
      if (!image) break;

      face_rect = detect_face(image, cascade, storage);
      cvShowImage(window_name, image);  //display

      //face detected, exit loop and track
      if (face_rect) break;
      
      //exit program on ESC
      if ((char)27 == cvWaitKey(10)) {
        cvReleaseCapture(&capture);
        cleanup(window_name, cascade, storage);
        exit(0);
      }
    }
    
    printf("Face detected, tracking with CamShift...\n");
    TrackedObj* tracked_obj = create_tracked_object(image, face_rect);

    CvBox2D face_box; //area to draw
    
    //track detected face with camshift
    while (1) {
      //get next video frame
      image = capture_video_frame(capture);
      if (!image) break;

      //track the face in the new frame
      face_box = camshift_track_face(image, tracked_obj);

      //outline face ellipse
      cvEllipseBox(image, face_box, CV_RGB(255,0,0), 3, CV_AA, 0);
      
      cvShowImage(window_name, image); //display

      //exit on ESC
      if ((char)27 == cvWaitKey(10)) break;
    }

    //free memory
    destroy_tracked_object(tracked_obj);
    cvReleaseCapture(&capture);
  }

  //release resources and exit
  cleanup(window_name, cascade, storage);
}


/* Given an image and a classider, detect and return region. */
CvRect* detect_face (IplImage* image,
                     CvHaarClassifierCascade* cascade,
                     CvMemStorage* storage) {

  CvRect* rect = 0;
  
  //get a sequence of faces in image
  CvSeq *faces = cvHaarDetectObjects(image, cascade, storage,
     1.1,                       //increase search scale by 10% each pass
     6,                         //require 6 neighbors
     CV_HAAR_DO_CANNY_PRUNING,  //skip regions unlikely to contain a face
     cvSize(0, 0));             //use default face size from xml

  //if one or more faces are detected, return the first one
  if(faces && faces->total)
    rect = (CvRect*) cvGetSeqElem(faces, 0);

  return rect;
}

/* Capture frame and return a copy so not to write to source. */
IplImage* capture_video_frame (CvCapture* capture) {
  //capture the next frame
  frame_curr = cvQueryFrame(capture);
  frame_copy = cvCreateImage(cvGetSize(frame_curr), 8, 3);
  assert(frame_curr && frame_copy); //make sure it's there

  //make copy of frame so we don't write to src
  cvCopy(frame_curr, frame_copy, NULL);
  frame_copy->origin = frame_curr->origin;

  //invert if needed, 1 means the image is inverted
  if (frame_copy->origin == 1) {
    cvFlip(frame_copy, 0, 0);
    frame_copy->origin = 0;
  }
  
  return frame_copy;
}

void cleanup (char* name,
              CvHaarClassifierCascade* cascade,
              CvMemStorage* storage) {
  //cleanup and release resources
  cvDestroyWindow(name);
  if(cascade) cvReleaseHaarClassifierCascade(&cascade);
  if(storage) cvReleaseMemStorage(&storage);
}

void print_help (char* name) {
  printf("Usage: %s [video]\n", name);
  exit(-1);
}

trackface.h

#ifndef INC_OPENCV
#define INC_OPENCV
#include <stdio.h>
#include <cv.h>
#include <highgui.h>
#endif

IplImage* capture_video_frame (CvCapture*);
CvRect* detect_face (IplImage*, CvHaarClassifierCascade*, CvMemStorage*);
void cleanup (char*, CvHaarClassifierCascade*, CvMemStorage*);
void print_help (char*);

//used by capture_video_frame, so we don't have to keep creating.
IplImage* frame_curr;
IplImage* frame_copy;

There are 2 errors.

1. Error 1 error C2440: '=' : cannot convert from 'void *' to 'TrackedObj *'
2. 2 IntelliSense: a value of type "void *" cannot be assigned to an entity of type "TrackedObj *"

can u solve this error?