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OpenCV453
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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
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static |
Create MIL tracker instance
| parameters | MIL parameters TrackerMIL::Params |