Multi-view Intelligent Vehicle Surveillance System

This paper presents a multi-view intelligent surveillance system used for the automatic tracking and monitoring of vehicles in a short-term parking lane. The system has the ability to track multiple vehicles in real-time across four cameras monitoring the area using a combination of both motion detection and optical flow modules. Automated alerts of events such as parking time violations, breaching of restricted areas or improper directional flow of traffic can be generated and communicated to attending security personnel. Results are shown using surveillance data captured from a real multi-camera network to illustrate the robust and real-time performance of the system.

• Type: Conference
• Year: 2006
• Where: AVSS
• Authors: Simon Denman, Clinton Fookes, Jamie Cook, Chris Davoren, Anthony Mamic, Graeme Farquharson, Daniel Chen, Brenden Chen, Sridha Sridharan
• Keywords: AVSS 2006, Multi-view Intelligent Surveillance, Parking Time Violations, Short-term Parking Lane, Signal Processing