High-level Surveillance Event Detection Using an Interval-based Query Language

被引：14

作者：

Helmer, Sven ^{[1
]}

Persia, Fabio ^{[1
]}

机构：

[1] Free Univ Bozen Bolzano, Fac Comp Sci, Bolzano, Italy

来源：

2016 IEEE TENTH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC) | 2016年

关键词：

High-Level Event Detection; Event Query Languages; Intervals;

D O I：

10.1109/ICSC.2016.19

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a language based on relational algebra extended by intervals for detecting high-level surveillance events from a video stream. The operators we introduce for describing temporal constraints are based on the well-known Allen's interval relationships. The semantics of our language are clearly defined and we illustrate its usefulness by expressing typical events in it and showing the promising results of an experimental evaluation.

引用

页码：39 / 46

页数：8

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