Title :
Real-Time Video Intelligent Surveillance System
Author :
Zhang, Weidong ; Chen, Feng ; Xu, Wenli ; Zhang, Enwei
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing
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;
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
DOI :
10.1109/ICME.2006.262707
