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Camera selection in visual sensor networks

2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007
Wireless networks of visual sensors have recently emerged as a new type of sensor-based intelligent system, with performance and complexity challenges that go beyond that of existing wireless sensor networks. The goal of the visual sensor network we examine is to provide a user with visual information from any arbitrary viewpoint within the monitored ...
Stanislava Soro, Wendi Heinzelman
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Camera Sensor network localization using FPGA

2010 International Conference on Intelligent and Advanced Systems, 2010
Camera networks are important in a video surveillance system. Many surveillance systems research has been done; most of it utilizes a general purpose computer. However, the latest trend is to use small, task specific and low power computer to process and control the system; in another word using embedded systems.
Lina Noaman Elkhatib   +2 more
openaire   +1 more source

Trusted Video Streams in Camera Sensor Networks

2020 IEEE 18th International Conference on Embedded and Ubiquitous Computing (EUC), 2020
Proof of integrity in produced video data by surveillance cameras requires active forensic methods such as signatures, otherwise authenticity and integrity can be comprised and data becomes unusable e. g. for legal evidence. But a simple file- or stream-signature loses its validity when the stream is cut in parts or by separating data and signature ...
Sven-Jannik Wohnert   +3 more
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Reduction of sensor population in a camera sensor network

2008 International Symposium on Telecommunications, 2008
The problem of surveillance for intrusion detection in a camera sensor network is addressed in this paper. In order to save limited resources, a sensing task should involve just the right number of sensors. For a wide enough coverage area random and uniform distribution can be applied.
M. Sanjabi   +5 more
openaire   +1 more source

Optimal camera selection for target localization in camera sensor networks

2008 42nd Annual Conference on Information Sciences and Systems, 2008
In this paper, we address the problem of localization-oriented optimal cameras selection based upon a tradeoff between the accuracy of target localization and the energy consumption in camera sensor networks. We model the addressed problem into the combined optimization problem of selecting a sequence of sets to minimize the cost while achieving a ...
null Liang Liu   +2 more
openaire   +1 more source

Demo: Mouse sensor networks, the smart camera

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, 2011
This paper describes an extremely low-cost smart camera with imaging sensor, freely programmable DSP, power control and wired/wireless networking capabilities. The power consumption reaches from 3mW to 240mW depending on load and transmission rates and the BOM for a single device is now 25 euros.
Marco Camilli, Richard Kleihorst
openaire   +1 more source

Automated calibration of a camera sensor network

2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
In this paper we present a new approach for the online calibration of a camera sensor network. This is the first step towards fully exploiting the potential for collaboration between mobile robots and static sensors sharing the same network. In particular we propose an approach for extracting the 3D pose of each camera in a common reference frame, with
I. Rekleitis, G. Dudek
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Collaborative Target Localization in Camera Sensor Networks

2008 IEEE Wireless Communications and Networking Conference, 2008
Target localization is an important application in sensor networks. Although the localization problem in acoustic /radar sensor networks has been intensively studied, few consider the problem in camera sensor networks. In this paper, we propose a method to utilize the active cameras to localize the target collaboratively.
Liang Liu, Huadong Ma, Xi Zhang
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Traffic modeling and prediction using camera sensor networks

Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras, 2010
We propose a Bayesian framework for modeling and predicting traffic patterns using information obtained from wireless sensor networks. For concreteness, we apply the proposed framework to a smart building application in which traffic patterns of humans are modeled and predicted through detection and matching of their images taken from cameras at ...
Zaihong Shuai   +2 more
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A simulation framework for camera sensor networks research

Proceedings of the 11th communications and networking simulation symposium, 2008
We present our progress on the Virtual Vision paradigm, which prescribes visually and behaviorally realistic virtual environments, called "reality emulators", as a simulation tool to facilitate research on large-scale camera sensor networks. We have successfully exploited a prototype reality emulator---a virtual train station populated with numerous ...
Faisal Qureshi, Demetri Terzopoulos
openaire   +1 more source

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