Towards a framework for collaborative video surveillance system using crowdsourcing

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
出版社Association for Computing Machinery
ページ393-396
ページ数4
26-February-2016
ISBN(印刷版)9781450339506
DOI
出版ステータス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
CountryUnited States
CitySan Francisco
Period16/2/2616/3/2

ASJC Scopus subject areas

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

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