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Distributed Image Processing [From the Guest Editors]

Gary Chan, Pascal Frossard, Anthony Vetro
2011 IEEE Signal Processing Magazine  
In particular, the framework that is described aims to optimize various scene analysis performance criteria through distributed control of the reconfigurable camera network.  ...  In the first article by Song et al., "Distributed Camera Networks," the authors advocate for an integrated sensing and analysis framework for dynamic scene analysis in a reconfigurable and distributed  ...  In particular, the framework that is described aims to optimize various scene analysis performance criteria through distributed control of the reconfigurable camera network.  ... 
doi:10.1109/msp.2011.940572 fatcat:2z3de3gi7jgm5ohxxndn2jrgwe

A Virtual Vision Simulator for Camera Networks Research

Wiktor Starzyk, Adam Domurad, Faisal Z. Qureshi
2012 2012 Ninth Conference on Computer and Robot Vision  
The results of this analysis can then be used for subsequent processing, such as camera control, coordination, and handoff.  ...  Consequently, we can deploy our simulator over a network of computers, allowing us to simulate much larger camera networks and much more complex scenes then is otherwise possible.  ...  ACKNOWLEDGEMENTS The authors would like to thank Natural Science and Engineering Research Council (NSERC) of Canada for their generous financial support of this research.  ... 
doi:10.1109/crv.2012.47 dblp:conf/crv/StarzykDQ12 fatcat:nhpbtyx76jblxjifhw3qnl4ksa

Distributed Camera Networks

Bi Song, Chong Ding, Ahmed Kamal, Jay Farrell, Amit Roy-chowdhury
2011 IEEE Signal Processing Magazine  
In this article, we show how to develop an end-to-end framework for integrated sensing and analysis in a distributed camera network so as to maximize various scene-understanding performance criteria (e.g  ...  and consensus algorithms for scene analysis.  ...  ACKNOWLEDGMENTS This work was partially supported by National Science Foundation grant 0622176, Office of Naval Research grant N00014-09-1-0666, and Army Research Office grant W911NF-07-1-0485.  ... 
doi:10.1109/msp.2011.940441 fatcat:f6urg7jnajbutnoejd7uleynqq

Opportunistic Image Acquisition of Individual and Group Activities in a Distributed Camera Network

Chong Ding, Jawadul H. Bappy, Jay A. Farrell, Amit K. Roy-Chowdhury
2017 IEEE transactions on circuits and systems for video technology (Print)  
Index Terms-Camera networks, distributed optimization, opportunistic sensing and tracking. Manuscript  ...  The decreasing cost and size of video sensors has led to camera networks becoming pervasive in our lives.  ...  In a distributed camera network, the camera communications are modeled by a communication graph.  ... 
doi:10.1109/tcsvt.2016.2593620 fatcat:7vonvrelrjehvgtz32jj5yhe3i

DSCAgents: A lightweight middleware for distributed smart cameras

Markus Quaritsch, Bernhard Rinner
2008 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras  
Mobile agents are used to model image processing tasks and to manage the whole smart camera network.  ...  This paper investigates on middleware for distributed smart cameras. We describe DSCAgents, our agent-oriented lightweight middleware system.  ...  Instead of processing the accumulated data on a dedicated host, scene analysis is done in a distributed manner within the smart camera network.  ... 
doi:10.1109/icdsc.2008.4635737 dblp:conf/icdsc/QuaritschR08 fatcat:aisidokawfa5rennqineaqtjxq

Distributed smart cameras for hard real-time control

Herwig Guggi, Bernhard Rinner
2010 Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras - ICDSC '10  
This paper describes an approach for integrating cognition, real-time communication and control.  ...  The position and motion information of all detected objects are transferred to the crane controller via a real-time network.  ...  In section 4 we present preliminary results on a single camera setting and in section 5 we discuss different methods for data fusion in the distributed smart camera network.  ... 
doi:10.1145/1865987.1866027 dblp:conf/icdsc/GuggiR10 fatcat:id7fyt26dbbyjehgc6ny45paz4

Improved Agent-Oriented Middleware for Distributed Smart Cameras

Markus Quaritsch, Bernhard Rinner, Bernhard Strobl
2007 2007 First ACM/IEEE International Conference on Distributed Smart Cameras  
Smart cameras combine video sensing, processing and communication within a single embedded device and provide sufficient on-board infrastructure to carry out high-level video analysis tasks.  ...  Networks of smart cameras help to overcome some hard problems inherent to singlecamera systems by providing multiple views of a scene.  ...  and control, and a communication module.  ... 
doi:10.1109/icdsc.2007.4357537 dblp:conf/icdsc/QuaritschRS07 fatcat:yvz27nrbprhl5lgjhenqnxg464

Intelligent distributed surveillance systems: a review

M. Valera, S.A. Velastin
2005 IEE Proceedings - Vision Image and Signal Processing  
This survey describes the current state-of-the-art in the development of automated visual surveillance systems so as to provide researchers in the field with a summary of progress achieved to date and  ...  in computer vision.  ...  It is also important to consider improved means of task distribution that optimise the use of central, remote facilities and data communication networks.  ... 
doi:10.1049/ip-vis:20041147 fatcat:escl2qb3xjbzdb4s2wrqctuxau

Distributed smart cameras for hard real-time obstacle detection in control applications

Herwig Guggi, Bernhard Rinner
2011 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras  
This paper describes the integration of distributed image analysis in a smart camera network with a control application.  ...  The distributed smart cameras analyze the environment of the controlled object and transfer accurate position and orientation information of all detected obstacles to the controller within guaranteed time  ...  This paper expands our previous work on such integration of distributed image analysis, communication and control in a hard real-time setting [2] .  ... 
doi:10.1109/icdsc.2011.6042935 dblp:conf/icdsc/GuggiR11 fatcat:yz4dgl4dhvfijp3etpetx4gbfa

Toward Pervasive Smart Camera Networks [chapter]

Bernhard Rinner, Wayne Wolf
2009 Multi-Camera Networks  
In this chapter, we briefly review and classify smart camera platforms and networks into single smart cameras, distributed smart camera systems and wireless smart camera networks.  ...  Smart camera networks are real-time distributed embedded systems that perform computer vision using multiple cameras.  ...  Their onboard processing and communication facilities foster collaboration among cameras and distributed data analysis.  ... 
doi:10.1016/b978-0-12-374633-7.00022-7 fatcat:obneeqzkpzccdp2r4y5opjsykm

Collaborative Sensing in a Distributed PTZ Camera Network

Chong Ding, Bi Song, A. Morye, J. A. Farrell, A. K. Roy-Chowdhury
2012 IEEE Transactions on Image Processing  
In this paper, we propose an integrated analysis and control framework for a pan, tilt, zoom (PTZ) camera network in order to maximize various scene understanding performance criteria (e.g., tracking accuracy  ...  Motivated by recent work in cooperative control of sensor networks, we propose a distributed optimization strategy, which can be modeled as a game involving the cameras and targets.  ...  CONCLUSION We have presented in this paper an approach to optimize various scene analysis performance criteria through distributed control of a dynamic camera network.  ... 
doi:10.1109/tip.2012.2188806 pmid:22374359 fatcat:yedjzum77bbzvpwtuico3tdzha

Self-Reconfigurable Smart Camera Networks

2014 Computer  
The advent of smart cameras will significantly improve video analytics capabilities with the use of networked embedded devices for sensing, processing and communicating data and metadata.  ...  Other growing uses of smart camera networks include in-home assistive technologies, collaborative recognition of events using networked wearable cameras, security and surveillance.  ...  Procedural similarities can be found in control theory problems and wireless sensor networks [4] .  ... 
doi:10.1109/mc.2014.133 fatcat:choaetezebe3bdttz2n65y2nom

A Survey of Visual Sensor Networks [chapter]

Stanislava Soro, Wendi Heinzelman
2011 Computer Technology and Computer Programming  
Using multiple cameras in the network provides different views of the scene, which enhances the reliability of the captured events.  ...  The camera nodes provide information from a monitored site, performing distributed and collaborative processing of their collected data.  ...  Additionally, the communication burden is smaller and more evenly distributed across the camera nodes in the case of distributed calibration compared to the centralized approach.  ... 
doi:10.1201/b13124-10 fatcat:bqvisvhvinc7npzwmhcznujyle

A Survey of Visual Sensor Networks

Stanislava Soro, Wendi Heinzelman
2009 Advances in Multimedia  
Using multiple cameras in the network provides different views of the scene, which enhances the reliability of the captured events.  ...  The camera nodes provide information from a monitored site, performing distributed and collaborative processing of their collected data.  ...  Additionally, the communication burden is smaller and more evenly distributed across the camera nodes in the case of distributed calibration compared to the centralized approach.  ... 
doi:10.1155/2009/640386 fatcat:rq3assy56nh7vprnwybjbz4p64

Establishment of Visual Supervision Mechanism for on - site Supervision of Electric Power Engineering

Zhang Yunshan, Liu Guofu, Zhang Lei, Bing Xu, Yinong Chen
2017 MATEC Web of Conferences  
The establishment of visualization regulatory mechanisms has a role in upgrading for power engineering site supervision and quality control.  ...  The existing engineering supervision mainly relies on manual completion and lacks effective supervision mechanism.  ...  easy to move after installation can be seen in the substation, transmission, distribution, marketing and other professionals, at the same time the scene has a stable power supply and network supply, the  ... 
doi:10.1051/matecconf/201713900127 fatcat:gjuimshwdvgploge7opmc2gbgq
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