research-article

Automated safety control by video cameras

Authors:

Iulia Lefter,

Leon Rothkrantz,

Maarten SomhorstAuthors Info & Claims

CompSysTech '12: Proceedings of the 13th International Conference on Computer Systems and Technologies

Pages 298 - 305

https://doi.org/10.1145/2383276.2383320

Published: 22 June 2012 Publication History

Get Access

Abstract

At this moment many surveillance systems are installed in public domains to control the safety of people and properties. They are constantly watched by human operators who are easily overloaded. To support the human operators, a surveillance system model is designed that detects suspicious behaviour in a non-public area. Its task is to alert the operators about suspicious events to give them the chance to investigate and take action. A prototype application has been implemented using state-of-the-art techniques from Computer Vision and Artificial Intelligence.

References

[1]

Ihaddadene, N., Djeraba, C.: Real-time crowd motion analysis. 2008 19th International Conference on Pattern Recognition, 25 (2008) 1--4.

Crossref

Google Scholar

[2]

Junejo, I. N., Cao, X., Foroosh, H.: Autoconfiguration of a Dynamic Nonoverlapping Camera Network. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics: a publication of the IEEE Systems, Man, and Cybernetics Society, 37(4), 21 (2007) 803--816.

Digital Library

Google Scholar

[3]

Kalal, Z., Matas, J., Mikolajczyk, K.: P-N Learning: Bootstrapping Binary Classifiers by Structural Constraints. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 45 46 86 101 (2010) 49--56.

Google Scholar

[4]

Lefter, I., Rothkrantz, L., Bouchner, P., Burghouts, G., Wiggers, P.: A Multimodal Car Driver Surveillance System in a Military Area. 16, 32 (2010).

Google Scholar

[5]

Li, Y., Huang, C., Nevatia, R.: Learning to Associate: HybridBoosted Multi-Target Tracker for Crowded Scene. IEEE Conference on Computer Vision and Pattern Recognition, 22 (2009) 2953--2960.

Crossref

Google Scholar

[6]

Pasula H., Russell, S., Ostland, M. and Ritov, Y. Tracking many objects with many sensors. Proceedings of the International Joint Conferences on Artificial Intelligence 1999 (IJCAI-99), (1), 1999.

Digital Library

Google Scholar

[7]

Raty, T. D.: Survey on Contemporary Remote Surveillance Systems for Public Safety, IEEE Transactions on Systems, Man, and Cybernetics -Part C: Applications and Reviews, 40(5), 20, 26 (2010) 493--515.

Digital Library

Google Scholar

[8]

Yokoi, K., Watanabe, T., Ito, S.: Toshiba at TRECVID 2009: Surveillance Event Detection Task, (2009).

Google Scholar

[9]

http://code.google.com/p/bnt/

Google Scholar

Cited By

View all

Sharma VGupta MKumar AMishra D(2021)Video Processing Using Deep Learning Techniques: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2021.31185419(139489-139507)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3118541
Eigenraam DRothkrantz L(2016)A smart surveillance system of distributed smart multi cameras modelled as agents2016 Smart Cities Symposium Prague (SCSP)10.1109/SCSP.2016.7501018(1-6)Online publication date: May-2016
https://doi.org/10.1109/SCSP.2016.7501018
Rothkrantz LScholte K(2013)A surveillance system of a military harbour using an automatic identification systemProceedings of the 14th International Conference on Computer Systems and Technologies10.1145/2516775.2516785(169-176)Online publication date: 28-Jun-2013
https://dl.acm.org/doi/10.1145/2516775.2516785

Automated safety control by video cameras
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

Recommendations

Risk analysis of a video-surveillance system
CompSysTech '11: Proceedings of the 12th International Conference on Computer Systems and Technologies

The paper describes a surveillance system of cameras installed at lamppost of a military area. The surveillance system has been designed to detect unwanted visitors or suspicious behaviors. The area is composed of streets, building blocks and surrounded ...
Automated containment of rootkits attacks

Rootkit attacks are a serious threat to computer systems. Packaged with other malwares such as worms, viruses and spyware, rootkits pose a more potent threat than ever before by allowing malware to evade detection. In the absence of appropriate tools to ...
Distributed Embedded Smart Cameras for Surveillance Applications

Current high-performance embedded cameras combine video sensing, video processing, and communication within a single device. These smart cameras are key components for novel surveillance systems.

Comments

Information & Contributors

Information

Published In

CompSysTech '12: Proceedings of the 13th International Conference on Computer Systems and Technologies

June 2012

440 pages

ISBN:9781450311939

DOI:10.1145/2383276

Editors:
Boris Rachev
Technical University of Varna, Varna, Bulgaria
,
Angel Smrikarov
University of Ruse, Ruse, Bulgaria

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CompSysTech'12

CompSysTech'12: 2012 Conference on Computer Systems and Technologies

June 22 - 23, 2012

Ruse, Bulgaria

Acceptance Rates

Overall Acceptance Rate 241 of 492 submissions, 49%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
100
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 15 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Sharma VGupta MKumar AMishra D(2021)Video Processing Using Deep Learning Techniques: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2021.31185419(139489-139507)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3118541
Eigenraam DRothkrantz L(2016)A smart surveillance system of distributed smart multi cameras modelled as agents2016 Smart Cities Symposium Prague (SCSP)10.1109/SCSP.2016.7501018(1-6)Online publication date: May-2016
https://doi.org/10.1109/SCSP.2016.7501018
Rothkrantz LScholte K(2013)A surveillance system of a military harbour using an automatic identification systemProceedings of the 14th International Conference on Computer Systems and Technologies10.1145/2516775.2516785(169-176)Online publication date: 28-Jun-2013
https://dl.acm.org/doi/10.1145/2516775.2516785

View Options

Get Access

Login options

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

Cited By

Recommendations

Risk analysis of a video-surveillance system

Automated containment of rootkits attacks

Distributed Embedded Smart Cameras for Surveillance Applications