camshiftKalman:基于OpenCV使用camshift和卡尔曼滤波器的物体跟踪项目

camshiftKalman ============== 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. Requirements ================ > - OpenCV(http://opencv.org/) Usage ================ 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 ``` Screenshot ============= only show result on one video    If we choose another object  when the obejct can not be captured  when the object appears again  <!-- Contact ============= If you any questions about this project, please contact me directly. E-mail : chengshaoguang1291@gmail.com From Northwestern Polytechnical University. -->