Multi-camera based surveillance system

Abstract

In recent years, surveillance systems have gained increased importance in order to increase the safety and security of people. These systems have applications in various domains like home or bank security, traffic monitoring, defense; and in public places like railway stations, malls, airports, etc. Our goal is to develop an intelligent real-time surveillance system that can help in increasing the efficiency of the system. In order to cover a large area, we need to install more number of cameras that leads to more number of videos that are to be monitored simultaneously. This in turn increases human intervention and makes it error prone. Therefore, it is of utmost importance to automate the complete system. In the proposed system, cameras are placed in such a way that there is a significant overlap between the field of view of the cameras. This helps in establishing an association between the cameras. The proposed real time surveillance system detects and tracks the objects in motion and provides automatic warning in case of suspicious activities such as unidentified object and restricted zone monitoring. The system provides different views in different cameras, thereby helping in resolving the occlusion in a simple and novel way. The algorithm has been tested on a CPU platform (Intel dual core with 4 GB RAM) with four wireless IP cameras (1.3 MP EDiMAX camera with night vision support) with a processing rate of 10 fps. This system can handle up to eight cameras on a GPU platform (NVIDIA GeForce GTX 480) with frame rate of 25fps.