The MIL algorithm trains a classifier in an online manner to separate the object from the background.
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#include <opencv2/video/tracking.hpp>
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 [14] .
Original code can be found here http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml
◆ TrackerMIL()
cv::TrackerMIL::TrackerMIL |
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◆ ~TrackerMIL()
virtual cv::TrackerMIL::~TrackerMIL |
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◆ create()
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| cv.TrackerMIL.create( | [, parameters] | ) -> | retval |
| cv.TrackerMIL_create( | [, parameters] | ) -> | retval |
Create MIL tracker instance.
- Parameters
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The documentation for this class was generated from the following file: