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CAT is a  project funded by the Wiener Wissenschafts-, Forschung- und Technologiefonds (WWTF) aiming at studying geometric properties of arbitrarily placed cameras and moving people in a surveillance system and searching for possibilities of their self-calibration. The ultimate goal of the CAT approach is to find a solution to self-calibrate the cameras from human detections, and vice versa, to use the calibration for better detection, people tracking and trajectory associations across multiple views.

The team members work in the Safety and Security Department of the AIT Austrian Institute of Technology - in Vienna, in collaboration with the Computer Vision Laboratory of the ETH Zurich, the Center for Machine Perception of the Czech Technical University in Prague and the Computer Science Department of the George Mason University, USA.