Many of the board games can be described by polygons. The rules of the game can be also given by the key-value pairs which can easily store these information. For example: owner of the certain field, which way the player can go, what kind of properties the shapes have etc.
The framework works mostly with white blood cell tracking, marble thin section and sandstone image processing. It is designed to show and modify the labelled polygons that is why it is possible to create a game with it.
The aim of this work is to create a strategy game based on abstract data model provided by the cv4sensorHUB framework. This game is a territory occupation game, where the polygons are the track elements. At the beginning, the player and computer also have an own polygon. The aim that during the game the player gains areas by choosing the right polygons and the player has bigger area by the end of the game.
All in all the development of this territory occupation game is based on the possibilities offered by the framework. The use of the Artificial Intelligence has given the opportunity to develop an intelligent computer player who is developing itself according to the levels and gives reactions.