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A design methodology for selection and placement of sensors in multimedia surveillance systems

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M. S. KankanhalliAuthors Info & Claims

VSSN '06: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks

Pages 121 - 130

https://doi.org/10.1145/1178782.1178801

Published: 27 October 2006 Publication History

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Abstract

This paper addresses the problem of how to select the optimal number of sensors and how to determine their placement in a given monitored area for multimedia surveillance systems. We propose to solve this problem by obtaining a novel performance metric in terms of a probability measure for accomplishing the task as a function of set of sensors and their placement. This measure is then used to find the optimal set. The same measure can be used to analyze the degradation in system 's performance with respect to the failure of various sensors. We also build a surveillance system using the optimal set of sensors obtained based on the proposed design methodology. Experimental results show the effectiveness of the proposed design methodology in selecting the optimal set of sensors and their placement.

References

[1]

P. K. Atrey and M. Kankanhalli. Goal based optimal selection of media streams.In IEEE International Conference on Multimedia and Expo pages 305--308, Amsterdam, The Netherlands, July 2005.

Google Scholar

[2]

R. Debouk, S. Lafortune,and D. Teneketzis. On an optimal problem in sensor selection.In Discrete Event Dynamic Systems: Theory and Applications volume 12,pages 417--445, March 2002.

Digital Library

Google Scholar

[3]

S. S. Dhillon and K. Chakrabarty. Sensor placement for effective coverage and surveillance in distributed sensor networks. In IEEE Wireless Communications and Networking Conference pages 1609--1614, New Orleans, USA, March 2003.

Crossref

Google Scholar

[4]

U. M. Erdem and S. Sclaroff. Optimal placement of cameras in floorplans to satisfy task requirements and cost constraints. In International Workshop on Omnidirectional Vision Prague,Czech Republic, May 2004.

Google Scholar

[5]

S. Jiang, R. Kumar, and H. E. Garcia. Optimal sensor selection for discrete event systems with partial observation. In IEEE Transactions on Automatic Control, vol. 48 pages 369--381, March 2003.

Crossref

Google Scholar

[6]

A. Mittal and L. Davis. Visibility analysis and sensor planning in dynamic environments. In European Conference on Computer Vision Prague, Czech Republic, May 2004.

Crossref

Google Scholar

[7]

Y. Oshman. Optimal sensor selection strategy for discrete-time state estimators.In IEEE Transactions on Aerospace and Electronic Systems, vol. 30 pages 307--314, April 1994.

Crossref

Google Scholar

[8]

P. Pahalawatta, T. N. Pappas, and A. K. Katsaggelos. Optimal sensor selection for video-based target tracking in a wireless sensor network. In IEEE International Conf. on Image Processing Singapore, October 2004.

Crossref

Google Scholar

[9]

C. R. Wren, U. Erdem, and A. Azarbayejani. Automatic pan-tilt-zoom calibration in the presence of hybrid sensor networks.In ACM International Workshop on Video Surveillance and Sensor Networks Singapore, Nov 2005.

Digital Library

Google Scholar

Cited By

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Zhao LZhou LWang YWang HZhuang RYao H(2023)Optimal Placement Method for Substation Surveillance Cameras Based on Dynamic Programming2023 6th International Conference on Electronics Technology (ICET)10.1109/ICET58434.2023.10211461(758-763)Online publication date: 12-May-2023
https://doi.org/10.1109/ICET58434.2023.10211461
Sun YHuang QHsiao DGuan LHua G(2021)Learning View Selection for 3D Scenes2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR46437.2021.01423(14459-14468)Online publication date: Jun-2021
https://doi.org/10.1109/CVPR46437.2021.01423
Ma HLiu LLuo HMa HLiu LLuo H(2021)Directional Sensing Models and Coverage ControlMultimedia Sensor Networks10.1007/978-981-16-0107-1_2(11-84)Online publication date: 25-Feb-2021
https://doi.org/10.1007/978-981-16-0107-1_2
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Index Terms

A design methodology for selection and placement of sensors in multimedia surveillance systems
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation
2. Information systems
  1. Information systems applications
    1. Multimedia information systems

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Published In

VSSN '06: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks

October 2006

230 pages

ISBN:1595934960

DOI:10.1145/1178782

General Chairs:
Jake K. Aggarwal
University of Texas
,
Rita Cucchiara
University of Modena and Reggio Emilia, Italy
,
Program Chair:
Andrea Prati
University of Modena and Reggio Emilia, Italy

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]

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Association for Computing Machinery

New York, NY, United States

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Published: 27 October 2006

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MM06: The 14th ACM International Conference on Multimedia 2006

October 27, 2006

California, Santa Barbara, USA

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Zhao LZhou LWang YWang HZhuang RYao H(2023)Optimal Placement Method for Substation Surveillance Cameras Based on Dynamic Programming2023 6th International Conference on Electronics Technology (ICET)10.1109/ICET58434.2023.10211461(758-763)Online publication date: 12-May-2023
https://doi.org/10.1109/ICET58434.2023.10211461
Sun YHuang QHsiao DGuan LHua G(2021)Learning View Selection for 3D Scenes2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR46437.2021.01423(14459-14468)Online publication date: Jun-2021
https://doi.org/10.1109/CVPR46437.2021.01423
Ma HLiu LLuo HMa HLiu LLuo H(2021)Directional Sensing Models and Coverage ControlMultimedia Sensor Networks10.1007/978-981-16-0107-1_2(11-84)Online publication date: 25-Feb-2021
https://doi.org/10.1007/978-981-16-0107-1_2
Kaushik AIndu SGupta D(2019)A Grey Wolf Optimization Based Algorithm for Optimum Camera PlacementWireless Personal Communications: An International Journal10.1007/s11277-019-06140-4105:3(1143-1167)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s11277-019-06140-4
Alqaysi HLawal NFedorov IO'Nils M(2017)Evaluating Coverage Effectiveness of Multi-Camera Domes Placement for Volumetric SurveillanceProceedings of the 11th International Conference on Distributed Smart Cameras10.1145/3131885.3131916(49-54)Online publication date: 5-Sep-2017
https://dl.acm.org/doi/10.1145/3131885.3131916
Lawal NO'Nils MImran M(2016)Design Exploration of a Multi-camera Dome for Sky MonitoringProceedings of the 10th International Conference on Distributed Smart Camera10.1145/2967413.2967419(14-18)Online publication date: 12-Sep-2016
https://dl.acm.org/doi/10.1145/2967413.2967419
Liu JSridharan SFookes C(2016)Recent Advances in Camera Planning for Large Area SurveillanceACM Computing Surveys10.1145/290614849:1(1-37)Online publication date: 23-May-2016
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Liu XChen GYang B(2015)Coverage Problems for Wireless Multimedia Sensor NetworksWireless Sensor Multimedia Networks10.1201/b19230-6(103-148)Online publication date: 15-Oct-2015
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Ghanem BCao YWonka P(2015)Designing Camera Networks by Convex Quadratic ProgrammingComputer Graphics Forum10.1111/cgf.1254234:2(69-80)Online publication date: 1-May-2015
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Chen CYao YHsu WKoschan AAbidi M(2015)Continuous camera placement using multiple objective optimisation processIET Computer Vision10.1049/iet-cvi.2014.00219:3(340-353)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1049/iet-cvi.2014.0021
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Design of multimedia surveillance systems

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Design of multimedia surveillance systems

Sensor Placement with Multiple Objectives for Structural Health Monitoring

Efficient Placement and Dispatch of Sensors in a Wireless Sensor Network

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