KIRAS - SECRET

Different authorities like such as the Ministry of the Interior often require to find certain event or behavior patterns in recordings in large video archives. This "forensic" search is computationally extremely expensive and due to restricted storage permissions often even not possible. Thus, security-critical events can often not prevented or being postpursued. To overcome these problems, the aim of the OUTLIER project is the investigation of algorithms, methods, and processes to alleviate the work of security staff in searching and pursuiting of events in video archives. Furthermore these tasks should be performed more efficiently.

Based on the requirements of the Ministry of the Interior as well as the possibilities of an infrastructure operator these issues should be examined and a research prototype should be created. This should occur in cooperation of AIT and ICG (University of Technology Graz) as research partners and ASE as an industrial partner. Essential research subjects are: (i) detection and segmentation of people, (ii) comparisons and finding of events in different video streams, and (iii) analyses and learning of behavior patterns. In addition, a social-scientific acceptance research will be established by the research institute of the Red Cross (FRK). Based on these results recommendations are compiled for the optimization by use and minimization of problem potentials from social-scientific view.