Applications of Computer Vision slowly make the step towards practical use under demanding real-world conditions. This talk presents considerations from
scientific and practitioner's point of view describing the process how a solution for a given task can be accomplished. These aspects are illustrated by a number of
application examples targeting some selected challenging vision problems such as video analytics and 3D vision based characterization of crowd movement The talk attempts
to provide a look under the hood of these systems by detailing considerations for the algorithmic choice, describing employed algorithmic concepts, presenting relevant
implementation details, putting special emphasis on the interplay between Matlab and C++ for a rapid development process and demonstrating numerous results of completed
real-time 2D and 3D vision systems.