Article

SensEye: a multi-tier camera sensor network

Authors:

Purushottam Kulkarni,

Deepak Ganesan,

Prashant Shenoy,

Qifeng LuAuthors Info & Claims

MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia

Pages 229 - 238

https://doi.org/10.1145/1101149.1101191

Published: 06 November 2005 Publication History

Abstract

This paper argues that a camera sensor network containing heterogeneous elements provides numerous benefits over traditional homogeneous sensor networks. We present the design and implementation of senseye---a multi-tier network of heterogeneous wireless nodes and cameras. To demonstrate its benefits, we implement a surveillance application using senseye comprising three tasks: object detection, recognition and tracking. We propose novel mechanisms for low-power low-latency detection, low-latency wakeups, efficient recognition and tracking. Our techniques show that a multi-tier sensor network can reconcile the traditionally conflicting systems goals of latency and energy-efficiency. An experimental evaluation of our prototype shows that, when compared to a single-tier prototype, our multi-tier senseye can achieve an order of magnitude reduction in energy usage while providing comparable surveillance accuracy.

References

[1]

J. M. Kahn and R. H. Katz and K. S. J. Pister. Mobile Networking for "Smart Dust". In Proc. of ACM MOBICOM, pages 271--278, 1999.]]

Digital Library

[2]

A. Gamal and L. J. Guibas. Collaborative visual sensor networks. http://mediax.stanford.edu/projects/cvsn.html]]

[3]

Sony SNC-RZ30N Camera Driver. http://cvs.nesl.ucla.edu/cvs/viewcvs.cgi/CoordinatedActuation/Actuate/]]

[4]

The CMUcam2. http://www-2.cs.cmu.edu/ cmucam/cmucam2/index.html]]

[5]

D A. Forsyth and J Ponce. Computer Vision: A Modern Approach. Prentice Hall, 2002.]]

Digital Library

[6]

E. Shih and P. Bahl and M. Sinclair. Wake on Wireless: An Event Driven Energy Saving Strategy for Battery Operated Devices. In Proc. of ACM MOBICOM, pages 160--171, 2002.]]

Digital Library

[7]

J. Elson, L. Girod, and D. Estrin. Fine-Grained Network Time Synchronization using Reference Broadcasts. In Proc. of OSDI, pages 147--163, 2002.]]

Digital Library

[8]

F. Zhao and M. Chu and J. E. Reich. Distributed Video Sensor Network. In Proc. of Intelligent Distributed Surveillance Systems, 2004.]]

[9]

J. Hill and R. Szewczyk and A. Woo and S. Hollar and D. Culler and Kr. Pister. System Architecture Directions for Networked Sensors. In Proc. of ASPLOS, pages 93--104, 2000.]]

Digital Library

[10]

P. Kulkarni, D. Ganesan, and P. Shenoy. The Case for Multi-tier Camera Sensor Networks. In Proc. of ACM NOSSDAV, pages 141--146, 2005.]]

Digital Library

[11]

X. Liu, P. Kulkarni, and P. Shenoy. Snapshot: A Self-Calibration Protocol for Camera Sensor Networks. Technical report, Department of Computer Science, University of Massachusetts, 2005.]]

[12]

L.Jiao and Y. Wu and G. Wu and E. Y. Chang and Y. Wang. The Anatomy of a Multi-camera Security Surveillance System. ACM Multimedia System Journal Special Issue, pages 144--163, October 2004.]]

[13]

M. Gerla and K. Xu. Multimedia Streaming in Large-Scale Sensor Networks with Mobile Swarms. In Proc. of ACM SIGMOD, pages 72--76, 2003.]]

Digital Library

[14]

T. Mitchell. Machine Learning. Mc"Graw Hill, 1997.]]

Digital Library

[15]

Crossbow wireless sensor platform. http://www.xbow.com/Products/Wireless Sensor Networks.htm]]

[16]

N B. Priyantha and A. Chakraborty and H. Balakrishnan. The Cricket Location-Support System. In Proc. of MOBICOM, pages 32--43, 2000.]]

Digital Library

[17]

R. Collins and A Lipton and T. Kanade. A System for Video Surveillance and Monitoring. In Proc. of American Nuclear Society (ANS) Eighth International Topical Meeting on Robotics and Remote Systems, 1999.]]

[18]

M. Rahimi, R. Baer, J. Warrior, D. Estrin, and M. Srivastava. Cyclops: In Situ Image Sensing and Interpretation in Wireless Sensor Networks. In Proc. of ACM SENSYS, 2005.]]

Digital Library

[19]

A. Rosenfeld and J. L. Pfaltz. Sequential Operations in Digital Picture Processing. Journal of the ACM, 13(4):471--494, 1966.]]

Digital Library

[20]

J. Sorber, N. Banerjee, M. D. Corner, and S. Rollins. Turducken: Hierarchical Power Management for Mobile Devices. In Proc. of MOBISYS, pages 261--274, 2005.]]

Digital Library

[21]

Stargate platform. http://www.xbow.com/Products/XScale.htm]]

[22]

U.M. Erdem and S. Sclaroff. Optimal Placement of Cameras in Floorplans to Satisfy Task Requirements and Cost Constraints. In Proc. of OMNIVIS Workshop, 2004.]]

[23]

V.C. Raykar, I. Kozintsev and R. Lienhart. Position Calibration of Audio Sensors and Actuators in a Distributed Computing Platform. In Proc. of ACM Multimedia, pages 572--581, 2003.]]

Digital Library

[24]

W. Feng and B. Code and E. Kaiser and M. Shea and W. Feng and L. Bavoil. Panoptes: A Scalable Architecture for Video Sensor Networking Applications. In Proc. of ACM Multimedia, pages 151--167, 2003.]]

Digital Library

[25]

F. Zhao, J. Liu, J. Liu, L. Guibas, and J. Reich. Collaborative Signal and Information Processing: An Information Directed Approach. Proceedings of the IEEE, 91(8):1199--1209, 2003.]]

Cited By

Mali GMisra S(2024)CORA: Cooperative Communication and Optimal Resource Allocation in Multihop Wireless Multimedia Sensor NetworksIEEE Internet of Things Journal10.1109/JIOT.2023.330077411:3(4076-4084)Online publication date: 1-Feb-2024
https://doi.org/10.1109/JIOT.2023.3300774
Fahmy HFahmy H(2023)WSNs ApplicationsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-031-20709-9_3(67-242)Online publication date: 14-Feb-2023
https://doi.org/10.1007/978-3-031-20709-9_3
Zhao YDong MWang YFeng DLv QDick RLi DLu TGu NShang L(2022)A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics PipelineIEEE Transactions on Multimedia10.1109/TMM.2021.307661224(2150-2163)Online publication date: 2022
https://doi.org/10.1109/TMM.2021.3076612
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Index Terms

SensEye: a multi-tier camera sensor network
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Networks
  1. Network architectures

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Information & Contributors

Information

Published In

cover image ACM Conferences

MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia

November 2005

1110 pages

ISBN:1595930442

DOI:10.1145/1101149

General Chairs:
Hongjiang Zhang
Microsoft Research Asia, China
,
Tat-Seng Chua
National University of Singapore, Singapore
,
Program Chairs:
Ralf Steinmetz
Technische Universitat Darmstadt, Germany
,
Mohan Kankanhalli
National University of Singapore, Singapore
,
Lynn Wilcox
FXPAL

Copyright © 2005 ACM.

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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Publication History

Published: 06 November 2005

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MM05

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MM05: 2005 13th Annual ACM International Conference on Multimedia

November 6 - 11, 2005

Hilton, Singapore

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MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

Mali GMisra S(2024)CORA: Cooperative Communication and Optimal Resource Allocation in Multihop Wireless Multimedia Sensor NetworksIEEE Internet of Things Journal10.1109/JIOT.2023.330077411:3(4076-4084)Online publication date: 1-Feb-2024
https://doi.org/10.1109/JIOT.2023.3300774
Fahmy HFahmy H(2023)WSNs ApplicationsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-031-20709-9_3(67-242)Online publication date: 14-Feb-2023
https://doi.org/10.1007/978-3-031-20709-9_3
Zhao YDong MWang YFeng DLv QDick RLi DLu TGu NShang L(2022)A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics PipelineIEEE Transactions on Multimedia10.1109/TMM.2021.307661224(2150-2163)Online publication date: 2022
https://doi.org/10.1109/TMM.2021.3076612
Wu JSubasharan VTran TMisra A(2022)MRIM: Enabling Mixed-Resolution Imaging for Low-Power Pervasive Vision Tasks2022 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PerCom53586.2022.9762398(44-53)Online publication date: 21-Mar-2022
https://doi.org/10.1109/PerCom53586.2022.9762398
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https://dl.acm.org/doi/10.1109/IROS40897.2019.8967569
Nutalapati MArora LBose ARajawat KHegde R(2022)A generalized framework for autonomous calibration of wheeled mobile robotsRobotics and Autonomous Systems10.1016/j.robot.2022.104262158(104262)Online publication date: Dec-2022
https://doi.org/10.1016/j.robot.2022.104262
Yousefi MKavian YMahmoudi A(2022)On the processing architecture in wireless video sensor networks: node and network level performance evaluationMultimedia Tools and Applications10.1007/s11042-019-7709-y78:17(24789-24807)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1007/s11042-019-7709-y
Bhering FPassos DOchi LObraczka KAlbuquerque C(2022)Wireless multipath video transmission: when IoT video applications meet networking—a surveyMultimedia Systems10.1007/s00530-021-00885-428:3(831-850)Online publication date: 19-Jan-2022
https://doi.org/10.1007/s00530-021-00885-4
Zhang HTao PMeng XLiu MLiu X(2021)An Optimum Deployment Algorithm of Camera Networks for Open-Pit Mine Slope MonitoringSensors10.3390/s2104114821:4(1148)Online publication date: 6-Feb-2021
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Alphonse PSriharsha KPaul ACheung SHo CDin S(2021)Vision based distance estimation from single RGB camera using field of view and magnification measurements –an AI based non triangulation technique for person distance estimation in surveillance areasJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-18958340:4(7635-7651)Online publication date: 1-Jan-2021
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