Towards a framework for collaborative video surveillance system using crowdsourcing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
PublisherAssociation for Computing Machinery
Pages393-396
Number of pages4
Volume26-February-2016
ISBN (Print)9781450339506
DOIs
Publication statusPublished - 2016 Feb 27
Event19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States
Duration: 2016 Feb 262016 Mar 2

Other

Other19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016
Country/TerritoryUnited States
CitySan Francisco
Period16/2/2616/3/2

Keywords

  • Collaborative video surveillance
  • Crowdsourcing
  • Framework

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Towards a framework for collaborative video surveillance system using crowdsourcing'. Together they form a unique fingerprint.

Cite this