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Overview

Recent tasks in computer vision, e.g. surveillance cameras in public buildings, demand an appropriate fusion of the information from different sensors to achieve a common goal (e.g. tracking of a person). Problems to solve are mainly caused by failure of sensors or failure to provide useful information for solving the task in specific situations (e.g. in case of occlusions). In cooperation with the Cognitive Science Department at the University of California, San Diego (Prof. Triesch) methods are researched allowing an autonomous fusion of the visual information from several cameras adapted to the observed situations, having 3d object tracking as the goal.


Project data

Start of the project: 01.01.2002

Financed until: 31.12.2005

Financed by: Deutscher Akademischer Austauschdienst (DAAD)/National Science Foundation (NSF)


People involved:

Heads of project: Prof. Dr.-Ing. Joachim Denzler, Prof. Dr.-Ing. Jochen Triesch

Researchers: Nicole Grünler