Real-Time Video Intelligent Surveillance System

Abstract

With the rapid development of hardware equipments, it is now economically and technically feasible to build a video surveillance system. This paper presents the system architecture of VISS, a video intelligent surveillance system deployed in parking lots. In VISS we adopt robust moving object detecting and tracking algorithm, and we present a novel activity recognition framework based on layer hidden semi-Markov model (LHSMM) which is used for modeling activities. The experimental results on real-time video shows the system is effective and robust in complex activity recognition