- added app for benchmarking tracking applications (trackingBenchmarkApp)
- changed parameters of VideoPlayerApp to support SingleLandmarkSource and BobotLandmarkSource at the same time
- added optional parameter to VideoPlayerApp to control the video codec of the written file
- changed overlap computation of adaptiveTrackingApp to comply with the BoBoT standard
- AdaptiveCondensationTracker now returns the initial estimate of the bounding box upon initialization (may deviate from given one)
- renamed Sample::isObject to isTarget (and setObject to setTarget)
- removed some TODOs that were left over here and there
tidied up some stuff (removed using declarations from header files, moved them to source files, removed empty destructors)
removed class weights from binary libSVM training
Added a fitter app (just a copy of fitterGUI at the moment)
Implemented main parts of the new fitter app
- fitter-app now outputs to a fitting-file

- added a fittingRenderer app to render a fitting-file
Merge branch 'fitting' of https://github.com/elador/FeatureDetection into fitting