abstract

Towards a Framework for Collaborative Video Surveillance System Using Crowdsourcing

Authors:

CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion

Pages 393 - 396

https://doi.org/10.1145/2818052.2869074

Published: 27 February 2016 Publication History

Get Access

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 re-call and high precision rates. Here we describe the basic mechanisms for collaboration between camera devices, data stores, image analyzers and surveillance crowds.

References

[1]

Josep Aguilera and et al. 2014. System on Chip (SoC): New generation of video surveillance systems. In Security Technology (ICCST), 2014 International Carnahan Conference on. IEEE, 1-5.

Google Scholar

[2]

Jeffrey P. Bigham and et al. 2010. VizWiz: Nearly Real-time Answers to Visual Questions. In UIST 2010.

Digital Library

Google Scholar

[3]

Neeraj J. Gadgil and et al. 2014. A Web-Based Video Annotation System for Crowdsourcing Surveillance Videos. In Proc. SPIE Vol. 9027: Imaging and Multimedia Analytics in a Web and Mobile World 2014. SPIE, 1-12.

Google Scholar

[4]

Thanathip Limna and Pichaya Tandayya. 2012. Design for a flexible video surveillance as a service. In Image and Signal Processing (CISP), 2012 5th International Congress on. 197-201.

Crossref

Google Scholar

[5]

Andrea Prati, Roberto Vezzani, Michele Fornaciari, and Rita Cucchiara. 2013. Intelligent Video Surveillance as a Service. In Intelligent Multimedia Surveillance Current Trends and Research. Springer International Publishing, 1-16.

Google Scholar

Cited By

View all

Fang XSi SSun GWu WWang KLv H(2023)A Domain-Aware Crowdsourcing System with Copier RemovalProceedings of the International Conference on Internet of Things, Communication and Intelligent Technology10.1007/978-981-99-0416-7_78(761-773)Online publication date: 24-Apr-2023
https://doi.org/10.1007/978-981-99-0416-7_78
Okimoto YKawata SSaito SNakano TOgawa T(2021)Crowdsourced Verification for Operating Calving Surveillance Systems at an Early Stage2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412488(4356-4362)Online publication date: 10-Jan-2021
https://doi.org/10.1109/ICPR48806.2021.9412488
Saito SNakano TAkabane MKobayashi T(2016)Evaluation of Collaborative Video Surveillance PlatformProceedings of the 10th International Conference on Distributed Smart Camera10.1145/2967413.2967416(172-177)Online publication date: 12-Sep-2016
https://dl.acm.org/doi/10.1145/2967413.2967416
Show More Cited By

Recommendations

Evaluation of Collaborative Video Surveillance Platform: Prototype Development of Abandoned Object Detection
ICDSC '16: Proceedings of the 10th International Conference on Distributed Smart Camera

This paper evaluates a new video surveillance platform presented in a previous study, through an abandoned object detection task. The proposed platform has a function of automated detection and alerting, which is still a big challenge for a machine ...
A Framework of Heterogeneous Real-Time Video Surveillance Network Management System
ICM '11: Proceedings of the 2011 International Conference of Information Technology, Computer Engineering and Management Sciences - Volume 02

Real-time video surveillance is valuable for ethology. In order to support the study of Anser indicus's breeding period behavior, a real-time video surveillance network management system must be constructed for scientists. Through requirements analysis, ...
Background modeling using phase space for day and night video surveillance systems
PCM'04: Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I

This paper presents a novel background modeling approach for day and night video surveillance. A great number of background models have been proposed to represent the background scene for video surveillance. In this paper, we propose a novel background ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion

February 2016

549 pages

ISBN:9781450339506

DOI:10.1145/2818052

General Chairs:
Darren Gergle
Northwestern University
,
Meredith Ringel Morris
Microsoft Research
,
Program Chairs:
Pernille Bjørn
University of Copenhagen
,
Joseph Konstan
University of Minnesota

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 February 2016

Check for updates

Author Tags

Qualifiers

Abstract

Conference

CSCW '16

Sponsor:

SIGCHI

CSCW '16: Computer Supported Cooperative Work and Social Computing

February 26 - March 2, 2016

California, San Francisco, USA

Acceptance Rates

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
234
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 30 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Fang XSi SSun GWu WWang KLv H(2023)A Domain-Aware Crowdsourcing System with Copier RemovalProceedings of the International Conference on Internet of Things, Communication and Intelligent Technology10.1007/978-981-99-0416-7_78(761-773)Online publication date: 24-Apr-2023
https://doi.org/10.1007/978-981-99-0416-7_78
Okimoto YKawata SSaito SNakano TOgawa T(2021)Crowdsourced Verification for Operating Calving Surveillance Systems at an Early Stage2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412488(4356-4362)Online publication date: 10-Jan-2021
https://doi.org/10.1109/ICPR48806.2021.9412488
Saito SNakano TAkabane MKobayashi T(2016)Evaluation of Collaborative Video Surveillance PlatformProceedings of the 10th International Conference on Distributed Smart Camera10.1145/2967413.2967416(172-177)Online publication date: 12-Sep-2016
https://dl.acm.org/doi/10.1145/2967413.2967416
Ghasemi AKumar C(2016)A video surveillance system methods at public zone2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)10.1109/ICATCCT.2016.7912055(523-526)Online publication date: 2016
https://doi.org/10.1109/ICATCCT.2016.7912055

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Recommendations

Evaluation of Collaborative Video Surveillance Platform: Prototype Development of Abandoned Object Detection

A Framework of Heterogeneous Real-Time Video Surveillance Network Management System

Background modeling using phase space for day and night video surveillance systems

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations