APFel: The intelligent video analysis and surveillance system for assisting human operators

Abstract

The rising need for security in the last years has led to an increased use of surveillance cameras in both public and private areas. The increasing amount of footage makes it necessary to assist human operators with automated systems to monitor and analyze the video data in reasonable time. In this paper we summarize our work of the past three years in the field of intelligent and automated surveillance. Our proposed system extends the common active monitoring of camera footage into an intelligent automated investigative person-search and walk path reconstruction of a selected person within hours of image data. Our system is evaluated and tested under life-like conditions in real-world surveillance scenarios. Our experiments show that with our system an operator can reconstruct a case in a fraction of time, compared to manually searching the recorded data.

Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios

“…This platform integrates a wider range of computer vision approaches to track persons or objects in CCTV video recordings. Similar platforms with a specific focus on facial recognition, identification and 3D reconstruction as well as spatial tracking have been reported in [8,13]. These platforms, studies on challenges for building large scale integrated video platforms [10] and corresponding test-beds [6] as well as surveys recommending future directions [5] only consider optimizing single-modal computer vision-based approaches.…”