Real-time tracking and fast retrieval of persons in multiple surveillance cameras of a shopping mall

Real-time tracking and fast retrieval of persons in multiple

surveillance cameras of a shopping mall

ABSTRACT

The capability to track individuals in CCTV cameras is important for e.g. surveillance applications at large areas such as train stations, airports and shopping centers. However, it is laborious to track and trace people over multiple cameras. In this paper, we present a system for real-time tracking and fast interactive retrieval of persons in video streams from multiple static surveillance cameras. This system is demonstrated in a shopping mall, where the cameras are positioned without overlapping fields-of-view and have different lighting conditions. The results show that the system allows an operator to find the origin or destination of a person more efficiently. The misses are reduced with 37%, which is a significant improvement.

Keywords: Surveillance, tracking, CCTV, person re-identification, multi-sensor fusion.