Events Detection Using a Video-Surveillance Ontology and a Rule-Based Approach

被引：14

作者：

Tani, Mohammed Yassine Kazi ^{[1
]}

Lablack, Adel ^{[2
]}

Ghomari, Abdelghani ^{[1
]}

Bilasco, Ioan Marius ^{[2
]}

机构：

[1] Univ ES Senia, RIIR Lab, Oran, Algeria

[2] Univ Lille 1, Lab Informat Fondamentale Lille, Lille, France

来源：

COMPUTER VISION - ECCV 2014 WORKSHOPS, PT II | 2015年 / 8926卷

关键词：

Ontology; Video surveillance; Blobs; Rules;

D O I：

10.1007/978-3-319-16181-5_21

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose the use of a Video-surveillance Ontology and a rule-based approach to detect an event. The scene is described using the concepts presented in the ontology. Then, the blobs are extracted from the video stream and are represented using the bounding boxes that enclose them. Finally, a set of rules have been proposed and have been applied to videos selected from PETS 2012 challenge that contain multiple objects events (e.g. Group walking, Group splitting, etc.).

引用

页码：299 / 308

页数：10

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