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

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

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

@inproceedings{c7f5b5df3bcf459cb099a3c118041830,

title = "Towards a framework for collaborative video surveillance system using crowdsourcing",

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.",

keywords = "Collaborative video surveillance, Crowdsourcing, Framework",

author = "Susumu Saito and Teppei Nakano and Tetsunori Kobayashi",

year = "2016",

month = feb,

day = "27",

doi = "10.1145/2818052.2869074",

language = "English",

isbn = "9781450339506",

volume = "26-February-2016",

pages = "393--396",

booktitle = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",

publisher = "Association for Computing Machinery",

note = "19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016 ; Conference date: 26-02-2016 Through 02-03-2016",

}

TY - GEN

T1 - Towards a framework for collaborative video surveillance system using crowdsourcing

AU - Saito, Susumu

AU - Nakano, Teppei

AU - Kobayashi, Tetsunori

PY - 2016/2/27

Y1 - 2016/2/27

N2 - 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.

AB - 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.

KW - Collaborative video surveillance

KW - Crowdsourcing

KW - Framework

UR - http://www.scopus.com/inward/record.url?scp=84963616118&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963616118&partnerID=8YFLogxK

U2 - 10.1145/2818052.2869074

DO - 10.1145/2818052.2869074

M3 - Conference contribution

AN - SCOPUS:84963616118

SN - 9781450339506

VL - 26-February-2016

SP - 393

EP - 396

BT - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

PB - Association for Computing Machinery

T2 - 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016

Y2 - 26 February 2016 through 2 March 2016

ER -