Automatic scheduling of CCTV camera views using a human-centric approach

In large scale surveillance systems, a number of CCTV cameras are installed in distributed premises and are connected to a central control station, where human operators observe the different camera views for identifying a probable security breach. In such situations, it is particularly difficult for the operator to pay attention to all camera views. Studies have shown that a human operator can effectively monitor only four camera views at a time. This paper attempts to solve the problem of dynamically selecting and scheduling the four best CCTV views. We adopt a human-centric approach in which the system computes the operatorpsilas attention in the CCTV views to automatically determine the importance of events captured by the respective cameras. The experiments show that the proposed method helps a human operator in identifying important events occuring in the environment.