Real-time event detection system for intelligent video surveillance

• Main Authors: Chua, Timothy John A., Co, Andrew Jonathan W., Ilustre, Paolo Javier S., Manzano, Enrique M., Lapira, Edzel R.
• Format: text
• Published: Animo Repository 2007
• Subjects: Video recordings > Production and direction; Video recordings industry; Surveillance radar; Electronic surveillance; Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/12172
• Institution: De La Salle University

The monitoring of CCTV cameras is heavily dependent on the efficiency of security personnel which leaves a lot to be desired when 50-100 live feeds are to be simultaneously monitored for extended periods of time. The more expensive solution is the addition of alarms to every location under surveillance. A more prudent approach, which this paper proposes, is to extend the functionality of the already available CCTV camera by allowing a computer to analyze the live feed using digital signal processing techniques. A proof-of-concept Real-time Event Detection Automated Surveillance System is presented here. The system takes a live feed from an analog camera via an encoder connected to the USB port of a computer. Various image processing techniques are then applied to the frames in order to separate the foreground from the background. Useful information is subsequently extracted from the foreground and is used in identifying objects of interest, establishing object correspondence across consecutive frames and in analyzing the behavior of the object itself. Detected alarm events are noted by means of a log, which is visible through the use interface of the system.