[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/1865987.1866002acmconferencesArticle/Chapter ViewAbstractPublication PagesicdscConference Proceedingsconference-collections
research-article

Occlusion-aware multiple camera reconfiguration

Published: 31 August 2010 Publication History

Abstract

This paper deals with the problem of camera networks reconfiguration. In particular, the case of Pan-Tilt-Zoom (PTZ) cameras is considered, and a method is proposed in order to automatically change the pan, tilt and zoom parameters in order to maximize the coverage of relevant portions of the observed environment. Here, the "relevant portions" are defined in terms of motion activity maps, measuring the passage of moving objects over a map of the monitored scene, however the method can be applied to arbitrary maps. Moreover, occlusions are explicitly handled, so that the map is different for each camera, depending on which portions of the scene are visible from a given point of view. The proposed technique works by approximating the observed zones with ellipses and finds a locally optimal solution by using the Expectation Maximization algorithm. In order to avoid unfeasible solutions (ellipses that cannot be obtained by any PTZ configuration) the computation is performed in a proper space where the geometric constraints due to the camera positions become null.

References

[1]
}}G. Arslan, J. Marden, and J. Shamma. Autonomous vehicle-target assignment: A game-theoretical formulation. ASME Journal of Dynamic Systems, Measurement and Control, 129(5):584--596, 2007.
[2]
}}A. Kansal, W. Kaiser, G. Pottie, M. Srivastava, and G. Sukhatme. Reconfiguration methods for mobile sensor networks. ACM Transaction on Sensor Networks, 3(4):22, 2007.
[3]
}}D. Karuppiah, R. Grupen, A. Hanson, and E. Riseman. Smart resource reconfiguration by exploiting dynamics in perceptual tasks. In IEEE International Conference on Intelligent Robots and Systems, 2005.
[4]
}}Y. Li and B. Bhanu. Utility-based dynamic camera assignment and hand-off in a video network. In IEEE/ACM International Conference on Distributed Smart Cameras, pages 1--9, Stanford, USA, 7--11 Sep. 2008.
[5]
}}A. Mittal and L. S. Davis. Visibility analysis and sensor planning in dynamic environments. In European Conference on Computer Vision, Prague, CZ, May 2004.
[6]
}}A. Mittal and L. S. Davis. A general method for sensor planning in multi-sensor systems: extension to random occlusion. International Journal of Computing Vision, 76:31--52, 2008.
[7]
}}J. Park, P. C. Bhat, and A. C. Kak. A look-up table based approach for solving the camera selection problem in large camera networks. In Workshop on Distributed Smart Cameras, Boulder, CO, USA, Oct. 31 2006.
[8]
}}F. Z. Qureshi and D. Terzopoulos. Planning ahead for ptz camera ssignment and handoff. In International conference on Distributed Smart Cameras, pages 1--8, Como, Italy, Aug-Sep 2009.
[9]
}}Bi Song, C. Soto, A. K. Roy-Chowdhury, and J. A. Farrell. Decentralized camera network control using game theory. In IEEE/ACM International Conference on Distributed Smart Cameras, pages 1--8, Stanford, USA, 7--11 Sep. 2008.
[10]
}}C. Soto, B. Song, and A. Roy-Chowdhury. Distributed multi-target tracking in a self-configuring camera network. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1486--1493, Miami, USA, 20--25 Jun 2009.

Cited By

View all
  • (2023)A novel model for representing a plane target and finding the worst-case coverage in wireless sensor network based on Clifford algebraEURASIP Journal on Wireless Communications and Networking10.1186/s13638-023-02301-z2023:1Online publication date: 19-Sep-2023
  • (2022)An Autonomous System for Efficient Control of PTZ CamerasACM Transactions on Autonomous and Adaptive Systems10.1145/350765816:2(1-22)Online publication date: 4-Mar-2022
  • (2021)Enabling Robot-assisted Motion Capture with Human Scale Tracking OptimizationProceedings of the 27th ACM Symposium on Virtual Reality Software and Technology10.1145/3489849.3489881(1-6)Online publication date: 8-Dec-2021
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
ICDSC '10: Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
August 2010
252 pages
ISBN:9781450303170
DOI:10.1145/1865987
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

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 August 2010

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article

Funding Sources

  • Interreg IV Italy-Austria project

Conference

ICDSC '10
Sponsor:
ICDSC '10: International Conference on Distributed Smart Cameras
August 31 - September 4, 2010
Georgia, Atlanta

Acceptance Rates

Overall Acceptance Rate 92 of 117 submissions, 79%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)6
  • Downloads (Last 6 weeks)1
Reflects downloads up to 27 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2023)A novel model for representing a plane target and finding the worst-case coverage in wireless sensor network based on Clifford algebraEURASIP Journal on Wireless Communications and Networking10.1186/s13638-023-02301-z2023:1Online publication date: 19-Sep-2023
  • (2022)An Autonomous System for Efficient Control of PTZ CamerasACM Transactions on Autonomous and Adaptive Systems10.1145/350765816:2(1-22)Online publication date: 4-Mar-2022
  • (2021)Enabling Robot-assisted Motion Capture with Human Scale Tracking OptimizationProceedings of the 27th ACM Symposium on Virtual Reality Software and Technology10.1145/3489849.3489881(1-6)Online publication date: 8-Dec-2021
  • (2020)Monitoring of Occupant States in Autonomous Vehicles Using Capacitance-Sensing ImagingIEEE Sensors Journal10.1109/JSEN.2020.300331220:21(12914-12927)Online publication date: 1-Nov-2020
  • (2019)Drone patrolling with reinforcement learningProceedings of the 13th International Conference on Distributed Smart Cameras10.1145/3349801.3349805(1-6)Online publication date: 9-Sep-2019
  • (2019)Optimal Camera Placement for Monitoring Safety in Metro Station Construction WorkJournal of Construction Engineering and Management10.1061/(ASCE)CO.1943-7862.0001584145:1Online publication date: Jan-2019
  • (2018)Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based ModelIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2017.265136228:5(1197-1211)Online publication date: May-2018
  • (2018)Optimizing Camera Placement Based on Task Modeling2018 IEEE SENSORS10.1109/ICSENS.2018.8630281(1-4)Online publication date: Oct-2018
  • (2018)Multi-Camera Active-Vision for Markerless Shape Recovery of Unknown Deforming ObjectsJournal of Intelligent and Robotic Systems10.1007/s10846-018-0773-092:2(223-264)Online publication date: 1-Oct-2018
  • (2018)Designing a camera placement assistance system for human motion capture based on a guided genetic algorithmVirtual Reality10.1007/s10055-017-0310-722:1(13-23)Online publication date: 1-Mar-2018
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media