The implementation of particle filtering tracker

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.

The implementation of particle filtering tracker

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 perf_test and test based on distance and overlap for tracking API

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

Intensity based registration module

Added initial version of the tracking module

Modified Copyrights

Moved plantuml source files under doc

disabled tests

Added include of precomp.hpp