This contribution aims to implement the sampler based on particle
filtering within a generic tracking API that opencv has. Maybe, one day
it will become a part of a robust solver.
This contribution aims to implement the sampler based on particle
filtering within a generic tracking API that opencv has. It still
remains to write the documentation.
Added OPE tests tracking
- Reinitialized random number generator (TrackerMIL and TrackerBoosting)
- Removed unused meanSigmaPair
Changed sample tracker.cpp with a list of images instead the video file
Modified OPE tests tracking
- The overlap threshold varies from 0.0 to 1.0
- The location error threshold varies from 0 to 50
Changed name for the tests
Removed unused field
Enlarged first rect of 10% respect the ground truth
Added TRE test
TRE test for the temporal robustness evaluation
Added SRE Test (spatial robustness evaluation)
- Removed the enlargment of the first frame
- TRE corrected the computation of the distance and the overlap
- TrackerBoosting changed the search factor
Fixed last segment in test TRE
First stub for regression test
Added test for faceocc2
Added perf_test for mil and boosting trackers
Modified SANITY_CHECK with ERROR_RELATIVE
In xml generated added the ratio between of the correct bounding box (based on dynamic threshold)
OPE Test: works with video and not with sequence of images
TRE Test: works with video and not with sequence of images
SRE Test: works with video and not with sequence of images
Perf test: works with video and not with sequence of images
Removed unused file
sample tracker.cpp: works with video and not with sequence of images
Kirill Kornyakov
Alfonso Sanchez-Beato
Alexandre Benoit
Vincent Rabaud
Vincent Rabaud
Andrey Pavlenko
Ilya Lavrenov
Antonella Cascitelli
Alex Leontiev
Kirill Kornyakov