Article

MeshEye: a hybrid-resolution smart camera mote for applications in distributed intelligent surveillance

Authors:

Stephan Hengstler,

Daniel Prashanth,

Hamid AghajanAuthors Info & Claims

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

Pages 360 - 369

https://doi.org/10.1145/1236360.1236406

Published: 25 April 2007 Publication History

Abstract

Surveillance is one of the promising applications to which smart camera motes forming a vision-enabled network can add increasing levels of intelligence. We see a high degree of in-node processing in combination with distributed reasoning algorithms as the key enablers for such intelligent surveillance systems. To put these systems into practice still requires a considerable amount of research ranging from mote architectures, pixel-processing algorithms, up to distributed reasoning engines. This paper introduces MeshEye, an energy-efficient smart camera mote architecture that has been designed with intelligent surveillance as the target application in mind. Special attention is given to MeshEye's unique vision system: a low-resolution stereo vision system continuously determines position, range, and size of moving objects entering its field of view. This information triggers a color camera module to acquire a high-resolution image sub-array containing the object, which can be efficiently processed in subsequent stages. It offers reduced complexity, response time, and power consumption over conventional solutions. Basic vision algorithms for object detection, acquisition, and tracking are described and illustrated on real-world data. The paper also presents a basic power model that estimates lifetime of our smart camera mote in battery-powered operation for intelligent surveillance event processing.

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Cited By

Tran MTran M(2023)Anomaly Event Retrieval System from TV News and Surveillance CamerasProceedings of the 12th International Symposium on Information and Communication Technology10.1145/3628797.3628891(953-959)Online publication date: 7-Dec-2023
https://dl.acm.org/doi/10.1145/3628797.3628891
Xiang TGu JWang YGao YZhang X(2023)Computer Vision Aided Beamforming Fused With Limited FeedbackIEEE Transactions on Machine Learning in Communications and Networking10.1109/TMLCN.2023.33264091(376-388)Online publication date: 2023
https://doi.org/10.1109/TMLCN.2023.3326409
Alioto M(2021)From Less Batteries to Battery-Less Alert Systems with Wide Power Adaptation down to nWs—Toward a Smarter, Greener WorldIEEE Design & Test10.1109/MDAT.2021.306908738:5(90-133)Online publication date: Oct-2021
https://doi.org/10.1109/MDAT.2021.3069087
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MeshEye: a hybrid-resolution smart camera mote for applications in distributed intelligent surveillance

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cover image ACM Conferences

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

April 2007

592 pages

ISBN:9781595936387

DOI:10.1145/1236360

General Chair:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign
,
Program Chairs:
Leo Guibas
Stanford University
,
Matt Welsh
Harvard University

Copyright © 2007 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: 25 April 2007

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IPSN07: The 6th International Conference on Information Processing in Sensor Networks

April 25 - 27, 2007

Massachusetts, Cambridge, USA

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

Tran MTran M(2023)Anomaly Event Retrieval System from TV News and Surveillance CamerasProceedings of the 12th International Symposium on Information and Communication Technology10.1145/3628797.3628891(953-959)Online publication date: 7-Dec-2023
https://dl.acm.org/doi/10.1145/3628797.3628891
Xiang TGu JWang YGao YZhang X(2023)Computer Vision Aided Beamforming Fused With Limited FeedbackIEEE Transactions on Machine Learning in Communications and Networking10.1109/TMLCN.2023.33264091(376-388)Online publication date: 2023
https://doi.org/10.1109/TMLCN.2023.3326409
Alioto M(2021)From Less Batteries to Battery-Less Alert Systems with Wide Power Adaptation down to nWs—Toward a Smarter, Greener WorldIEEE Design & Test10.1109/MDAT.2021.306908738:5(90-133)Online publication date: Oct-2021
https://doi.org/10.1109/MDAT.2021.3069087
Le GTran TDoan PTrong H(2021)Development of a wifi data logger system for wireless environmental monitoring2021 15th International Conference on Advanced Computing and Applications (ACOMP)10.1109/ACOMP53746.2021.00037(206-209)Online publication date: Nov-2021
https://doi.org/10.1109/ACOMP53746.2021.00037
Shallari ILeal IKrug SJantsch AO'Nils M(2021)Design Space Exploration for an IoT Node: Trade-Offs in Processing and CommunicationIEEE Access10.1109/ACCESS.2021.30748759(65078-65090)Online publication date: 2021
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Costa D(2020)Visual Sensors Hardware Platforms: A ReviewIEEE Sensors Journal10.1109/JSEN.2019.295244720:8(4025-4033)Online publication date: 15-Apr-2020
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Chiwariro R.N T(2020)Quality of service aware routing protocols in wireless multimedia sensor networks: surveyInternational Journal of Information Technology10.1007/s41870-020-00478-w14:2(789-800)Online publication date: 29-Jul-2020
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