Authors: Lukas Neumann, Jiri Matas, Michal Busta

Description: TextSpotter is used for frame-by-frame detection. The FoT tracker of Tomas Vojir et al is used for tracking.

TextSpotter is an unconstrained real-time end-to-end text localization and recognition method. The real-time performance is achieved by posing the character detection problem as an efficient sequential selection from the set of Extremal Regions (ERs). ERs are grouped into word regions which are recognized using an approximate nearest-neighbor classifier operating on a coarse Gaussian scale-space pyramid. A demo of the software is available online: http://www.textspotter.org

The FoT tracker [1] can be found here:
http://cmp.felk.cvut.cz/~vojirtom/

[1] Tomas Vojir and Jiri Matas, “The Enhanced Flock of Trackers“. Registration and Recognition in Images and Videos - Studies in Computational Intelligence, Springer 2014.