An object tracking project using camshift and Kalman Filter based on OpenCV.

I implement this object tracking algorithm using camshift and Kalman Filter. Three features, hue,saturation and rotation invariant Local Binary Pattern, are used to model the tracking object. Kalman Filter is employed to smooth the motion trajectory and predict the next position when the object is occluded.

• OpenCV(http://opencv.org/)

For linux :

./camShiftKalman -m option -t option -v option

For windows :

(using cmd change directory to camShiftKalman)
cd path/to/this/drorectory
camShiftKalman -m option -t option -v option

Detail usage :

  -m, --useMouse=[true]    how to choose object to track
  -t, --featureType=[0]    0 -- HUE
  						   1 -- SATURATION_HUE (need to implement)
                           2 -- LBP_HUE (need to implement)
                           3 -- LBP_SATURATION_HUE
  -v, --videoName          the video to track

only show result on one video

If we choose another object when the obejct can not be captured when the object appears again