Leave a Trace - A People Tracking System Meets Anomaly Detection
Dominik Rueß, Konstantinos Amplianitis, Niklas Deckers, Michele Adduci, Kristian Manthey, Ralf Reulke · The International journal of Multimedia & Its Applications · 2017
Video surveillance always had a negative connotation, among others because of the loss of privacy and because it may not automatically increase public safety.If it was able to detect atypical (i.e.dangerous) situations in real time, autonomously and anonymously, this could change.A prerequisite for this is an automatic detection of possibly dangerous situations from video data.From the derived trajectories we then want to determine dangerous situations by detecting atypical trajectories.However, it is better to develop such a system without people being threatened or even harmed, plus with having them know that there is such a tracking system installed.In the artistic project leave a trace the tracked people become actor and thus part of the installation.Visualization in real-time allows interaction by these actors, which in turn creates many atypical interaction situations on which we could develop our situation detection.