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Risk analysis of a video-surveillance system

Published: 16 June 2011 Publication History

Abstract

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 by gates and water. The video recordings are monitored by operators at regular times. Next some operators inspect the area by car. To compute the probability of unobserved intrusion we used (Hidden) Markov Models. We also investigated the weak spots. We considered three intrusion scenarios of suspicious individuals, traveling by car, by boat and by foot. The military area has been split up in different areas/zones, partly covered by cameras or by the inspection team. The probability of detection in some forbidden areas has been extracted from the surveillance system and from the time tables of the inspection operators. The transition probabilities between areas are computed using data from analysis of video recordings and based on interviews with operators.

References

[1]
http://www.vialis.com
[2]
A. Basharat, A. Gritai, and M. Shah. Learning object motion patterns for anomaly detection and improved object detection. In IEEE Int. Conf. Of Computer Vision and Pattern Recognition, 2008.
[3]
D. Kuettel, M. D. Breitenstein, L. Van Gool, and V. Ferrari. Whats going on? discovering spatio-temporal dependencies in dynamic scenes. In IEEE Conference on Computer Vision and Pattern Recognition, June 2010.
[4]
W. Zajdel, J. D. Krijnders, T. C. Andringa, and D. M. Gavrila. Cassandra: audio-video sensor fusion for aggression detection. Proc. IEEE Conference on Advanced Video and Signal Based Surveillance AVSS, page 200--205, 2007.
[5]
E. Menegatti, E. Mumolo, M. Nolich, and E. Pagello. A surveillance system based on audio and video sensory agents cooperating with a mobile robot. In Intelligent Autonomous Systems 8, pages 335--343, IOS Press, 2004.
[6]
D. Datcu, Z. Yang, and L. Rothkrantz. Multimodal workbench for automatic surveillance applications. Multimodal Surveillance: Sensors, Algorithms, and Systems, 2007.
[7]
M. C. Popa, L. J. M Rothkrantz, D. Datcu, P. Wiggers, R. Braspenning, C. Shan. 2010. A comparative study of HMMs and DBNs applied to Facial Action Units Recognition. Neural network World. 6:737--760.
[8]
I. Lefter, L. J. M Rothkrantz, P. Bouchner, P. Wiggers. 2010. A multimodal car driver surveillance system in a military area. Driver Car Interaction & Interface 2010.

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Published In

cover image ACM Other conferences
CompSysTech '11: Proceedings of the 12th International Conference on Computer Systems and Technologies
June 2011
688 pages
ISBN:9781450309172
DOI:10.1145/2023607
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]

Sponsors

  • TELECVB: TELECOMS - Varna, Bulgaria
  • Austrian Comp Soc: Austrian Computer Society
  • BPCSB: BULGARIAN PUBLISHING COMPANY - Sofia, Bulgaria
  • IOMAIBB: INSTITUTE OF MATHEMATICS AND INFORMATICS - BAS, Bulgaria
  • NBUBB: New Bulgarian University - BAS, Bulgaria
  • Technical University of Sofia
  • IOIACTBB: INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIES - BAS, Bulgaria
  • TSFPS: THE SEVENTH FRAMEWORK PROGRAMME - SISTER
  • ERSVB: EURORISC SYSTEMS - Varna, Bulgaria
  • FOSEUB: FEDERATION OF THE SCIENTIFIC ENGINEERING UNIONS - Bulgaria
  • UORB: University of Ruse, Bulgaria
  • BBPSB: BULGARIAN BUSINESS PUBLICATIONS - Sofia, Bulgaria
  • CASTUVTB: CYRIL AND ST. METHODIUS UNIVERSITY of Veliko Tarnovo, Bulgaria
  • TECHUVB: Technical University of Varna, Bulgaria
  • LLLPET: LIFELONG LEARNING PROGRAMME - ETN TRICE
  • IEEEBSB: IEEE Bulgaria Section, Bulgaria

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2011

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Author Tags

  1. hidden Markov models
  2. risk analysis
  3. surveillance systems

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  • Research-article

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CompSysTech '11
Sponsor:
  • TELECVB
  • Austrian Comp Soc
  • BPCSB
  • IOMAIBB
  • NBUBB
  • IOIACTBB
  • TSFPS
  • ERSVB
  • FOSEUB
  • UORB
  • BBPSB
  • CASTUVTB
  • TECHUVB
  • LLLPET
  • IEEEBSB

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Overall Acceptance Rate 241 of 492 submissions, 49%

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