Towards a framework for collaborative video surveillance system using crowdsourcing

Susumu Saito, Teppei Nakano, Tetsunori Kobayashi

    研究成果: Conference contribution

    2 引用 (Scopus)

    抜粋

    This paper proposes a new framework for video surveillance systems for crime prevention. The main purpose of this framework is to help provide reasonable and stable solutions for automated video surveillance systems in a collaborative way. This framework is characterized by a verification process using crowdsourcing after the image analysis process: automated image analyzer detects as many suspicious events as possible followed by filtering process using human intelligence, to achieve both high recall and high precision rates. Here we describe the basic mechanisms for collaboration between camera devices, data stores, image analyzers and surveillance crowds.

    元の言語English
    ホスト出版物のタイトルProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
    出版者Association for Computing Machinery
    ページ393-396
    ページ数4
    26-February-2016
    ISBN(印刷物)9781450339506
    DOI
    出版物ステータスPublished - 2016 2 27
    イベント19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States
    継続期間: 2016 2 262016 3 2

    Other

    Other19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016
    United States
    San Francisco
    期間16/2/2616/3/2

      フィンガープリント

    ASJC Scopus subject areas

    • Software
    • Computer Networks and Communications
    • Human-Computer Interaction

    これを引用

    Saito, S., Nakano, T., & Kobayashi, T. (2016). Towards a framework for collaborative video surveillance system using crowdsourcing. : Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW (巻 26-February-2016, pp. 393-396). Association for Computing Machinery. https://doi.org/10.1145/2818052.2869074