This contribution includes the following logical components into
tracking module:
.) Change Rect to Rect2d into headers for Tracker's methods;
This contribution includes the following logical components into
tracking module:
.) Change Rect to Rect2d into headers for Tracker's methods;
.) MedianFlow tracker;
.) extensible benchmark to compare trackers interactively and
assess them quantitatively;
.) TLD tracker (work-in-progress);
Work was funded by Google Summer of Code 2014 initiative. Mentors:
Gary
Bradski and Vadim Pisarevsky.
This contribution changes the way how trackers should be implemented by
programmer. It should be noted first, that from the user prospective,
Tracker::create() method still can be called with the same effect.
However, there's no more thing as a "constructor" for Tracker, they
should be created via static functions, e.g.
static Ptr<TrackerMIL> createTracker(const TrackerMIL::Params ¶meters=TrackerMIL::Params());
From the programmer's perspective now for every tracker what is declared
in tracker.hpp header is more a "interface", while the real
implementation class can (and has to) be implemented in .cpp file.
Changes in documentation are also included.
I've changed Rect to Rect2d in Tracker::update(), Tracker::init() and
all related methods (including documentation). This allows to initialize
trackers with double-valued rectangles, thus adding versality. Besides,
trackers also can output double-valued rectangles, which may be
beneficial in some scenarios.
However, it remains to change UML diagrams in documentation to tracker
module, as they still display methods above with old signatures.
Now initial bounding frame can be given in command-line, as an alternative
to manual selection via mouse. Bounding frame is given as optional last
argument in the format "x1,y1,x2,y2" where x's and y's are integers,
symbolizing bounding box with opposite vertices (x1,y1) and (x2,y2).
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
Alex Leontiev
vbystricky
Ilya Lavrenov
Kirill Kornyakov
Antonella Cascitelli