An Ontology for Event Detection and its Application in Surveillance Video

被引:40
|
作者
Carlos SanMiguel, Juan [1 ]
Martinez, Jose M. [1 ]
Garcia, Alvaro [1 ]
机构
[1] Univ Autonoma Madrid, Escuela Politecn Super, Video Proc & Understanding Lab, E-28049 Madrid, Spain
关键词
D O I
10.1109/AVSS.2009.28
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose an ontology for representing the prior knowledge related to video event analysis. It is composed of two types of knowledge related to the application domain and the analysis system. Domain knowledge involves all the high level semantic concepts in the context of each examined domain (objects, events, context ...) whilst system knowledge involves the capabilities of the analysis system (algorithms, reactions to events ...). The proposed ontology has been structured in two parts: the basic ontology (composed of the basic concepts and their specializations) and the domain-specific extensions. Additionally, a video analysis framework based on the proposed ontology is defined for the analysis of different application domains showing the potential use of the proposed ontology. In order to show the real applicability of the proposed ontology, it is specialized for the Underground video-surveillance domain showing some results that demonstrate the usability and effectiveness of the proposed ontology.
引用
收藏
页码:220 / 225
页数:6
相关论文
共 50 条
  • [1] Application of Temporal Action Detection Technology in Abnormal Event Detection of Surveillance Video
    Lin, Chenxiang
    Ma, Teng
    Wu, Fei
    Qian, Jian
    Liao, Feilong
    Huang, Jinaye
    IEEE ACCESS, 2025, 13 : 26958 - 26972
  • [2] Group Event Detection for Video Surveillance
    Lin, Weiyao
    Sun, Ming-Ting
    Poovendran, Radha
    Zhang, Zhengyou
    ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5, 2009, : 2830 - +
  • [3] Abnormal Event Detection Method for ATM Video and Its Application
    Yi, Min
    ADVANCED RESEARCH ON COMPUTER EDUCATION, SIMULATION AND MODELING, PT II, 2011, 176 (02): : 186 - 192
  • [4] A Framework of Simple Event Detection in Surveillance Video
    Xu, Weiguang
    Zhang, Yafei
    Lu, Jianjiang
    Tian, Yulong
    Wang, Jiabao
    INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT II, 2011, 135 : 556 - 561
  • [5] Event Detection and Classification in Video Surveillance Sequences
    Chasanis, Vasileios
    Likas, Aristidis
    ARTIFICIAL INTELLIGENCE: THEORIES, MODELS AND APPLICATIONS, PROCEEDINGS, 2010, 6040 : 309 - 314
  • [6] Automated Unusual Event Detection In Video Surveillance
    Chamle, Madhav
    Gunale, K. G.
    Warhade, K. K.
    2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 2, 2016, : 433 - 436
  • [7] Real-time event detection and its application to surveillance systems
    Liao, Hong-Yuan Mark
    Chen, Duan-Yu
    Su, Chih-Wen
    Tyan, Hsiao-Rang
    2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS, 2006, : 509 - +
  • [8] Application of foreground object patterns analysis for event detection in an innovative video surveillance system
    Dariusz Frejlichowski
    Katarzyna Gościewska
    Paweł Forczmański
    Radosław Hofman
    Pattern Analysis and Applications, 2015, 18 : 473 - 484
  • [9] Application of foreground object patterns analysis for event detection in an innovative video surveillance system
    Frejlichowski, Dariusz
    Gosciewska, Katarzyna
    Forczmanski, Pawel
    Hofman, Radoslaw
    PATTERN ANALYSIS AND APPLICATIONS, 2015, 18 (03) : 473 - 484
  • [10] A Distributed Framework for Event Detection in Video Surveillance Context
    Persia, Fabio
    D'Auria, Daniela
    2015 10TH INTERNATIONAL CONFERENCE ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC), 2015, : 578 - 583