Real-time Video Intelligent Surveillance System

被引：0
|
作者：
Zhang, Weidong [1 ]
Chen, Feng [1 ]
Xu, Wenli [1 ]
Zhang, Enwei [1 ]
机构：
[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO - ICME 2006, VOLS 1-5, PROCEEDINGS | 2006年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 show that the system is effective and robust in complex activity recognition.
引用
收藏
页码：1021 / +
页数：2
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