| OpenCV453
    | 
The MIL algorithm trains a classifier in an online manner to separate the object from the background. [詳解]
#include <tracking.hpp>
cv::Trackerを継承しています。
| クラス | |
| struct | Params | 
| 静的公開メンバ関数 | |
| static CV_WRAP Ptr< TrackerMIL > | create (const TrackerMIL::Params ¶meters=TrackerMIL::Params()) | 
| Create MIL tracker instance  [詳解] | |
| その他の継承メンバ | |
|  基底クラス cv::Tracker に属する継承公開メンバ関数 | |
| virtual CV_WRAP void | init (InputArray image, const Rect &boundingBox)=0 | 
| Initialize the tracker with a known bounding box that surrounded the target  [詳解] | |
| virtual CV_WRAP bool | update (InputArray image, CV_OUT Rect &boundingBox)=0 | 
| Update the tracker, find the new most likely bounding box for the target  [詳解] | |
The MIL algorithm trains a classifier in an online manner to separate the object from the background.
Multiple Instance Learning avoids the drift problem for a robust tracking. The implementation is based on [MIL] .
Original code can be found here http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml
| 
 | static | 
Create MIL tracker instance
| parameters | MIL parameters TrackerMIL::Params |