Towards a framework for collaborative video surveillance system using crowdsourcing

Susumu Saito; Teppei Nakano; Tetsunori Kobayashi

doi:10.1145/2818052.2869074

Towards a framework for collaborative video surveillance system using crowdsourcing

Susumu Saito, Teppei Nakano, Tetsunori Kobayashi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 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 language	English
Title of host publication	Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Publisher	Association for Computing Machinery
Pages	393-396
Number of pages	4
Volume	26-February-2016
ISBN (Print)	9781450339506
DOIs	https://doi.org/10.1145/2818052.2869074
Publication status	Published - 2016 Feb 27
Event	19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States Duration: 2016 Feb 26 → 2016 Mar 2

Other

Other	19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016
Country	United States
City	San Francisco
Period	16/2/26 → 16/3/2

Keywords

Collaborative video surveillance
Crowdsourcing
Framework

ASJC Scopus subject areas

Software
Computer Networks and Communications
Human-Computer Interaction

Access to Document

10.1145/2818052.2869074

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Cite this

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

Towards a framework for collaborative video surveillance system using crowdsourcing. / Saito, Susumu; Nakano, Teppei; Kobayashi, Tetsunori.

Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW. Vol. 26-February-2016 Association for Computing Machinery, 2016. p. 393-396.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Saito, S, Nakano, T & Kobayashi, T 2016, Towards a framework for collaborative video surveillance system using crowdsourcing. in Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW. vol. 26-February-2016, Association for Computing Machinery, pp. 393-396, 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016, San Francisco, United States, 16/2/26. https://doi.org/10.1145/2818052.2869074

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