  ARTOS is all about creating, tuning, and applying object detection models
with just a few clicks. In particular, ARTOS facilitates learning of models for
visual object detection by eliminating the burden of having to collect and
annotate a large set of positive and negative samples manually and in addition
it implements a fast learning technique to reduce the time needed for the
learning step.
  A clean and friendly GUI guides the user through the process of model
creation, adaptation of learned models to different domains using in-situ
images, and object detection on both offline images and images from a video
stream. A library written in C++ provides the main functionality of ARTOS with
a C-style procedural interface, so that it can be easily integrated with any
other project.
