Real-Time Video Intelligent Surveillance System

Author

Zhang, Weidong ; Chen, Feng ; Xu, Wenli ; Zhang, Enwei

Author_Institution

Dept. of Autom., Tsinghua Univ., Beijing

fYear

2006

fDate

9-12 July 2006

Firstpage

1021

Lastpage

1024

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

Keywords

hidden Markov models; image recognition; object detection; object recognition; real-time systems; tracking; video coding; LHSMM; activity recognition framework; hidden semi-Markov model; moving object detection; real-time VISS; tracking algorithm; video intelligent surveillance system; Cameras; Computer architecture; Hardware; Intelligent systems; Layout; Network servers; Real time systems; Robustness; Video compression; Video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2006 IEEE International Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

1-4244-0366-7

Electronic_ISBN

1-4244-0367-7

Type

conf

DOI

10.1109/ICME.2006.262707

Filename

4036776