Conferences related to Distributed vision networks

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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

ETFA focus is on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to exchange ideas with both industry leaders and a variety of experienced researchers, developers, and practitioners from several industries, research institutes, and academia


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.


2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.



Periodicals related to Distributed vision networks

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Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems Magazine, IEEE


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.



Most published Xplore authors for Distributed vision networks

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Xplore Articles related to Distributed vision networks

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Real-time communication for distributed vision processing based on imprecise computation model

Proceedings 16th International Parallel and Distributed Processing Symposium, 2001

None


Calibration of distributed vision network in unified coordinate system by mobile robots

2008 IEEE International Conference on Robotics and Automation, 2008

This paper proposes a calibration method of a distributed vision network in a unified world coordinate system. The vision network system is conceived to support a robot working in our daily human life environment: the system provides with visual observation of the dynamically changing situation surrounding the robot. Vision cameras are rather sparsely distributed to cover a wide area such ...


PARADIGM: an architecture for distributed vision processing

[1990] Proceedings. 10th International Conference on Pattern Recognition, 1990

A parallel vision architecture called PARADIGM is proposed. PARADIGM has been designed as a mechanism for composing distributed programs for vision processing and spatial-oriented operations. In the PARADIGM environment, users can focus their efforts on solving vision problems and choosing the best strategies for data partitioning without worrying about task allocation/scheduling and details of communications. PARADIGM has been implemented on ...


Design and Evaluation of a Notification System for Alarm Management in Distributed Vision Networks

2009 29th IEEE International Conference on Distributed Computing Systems Workshops, 2009

Latest research results in the areas of computer vision and embedded systems have made way for smart cameras. These cameras use a built-in computing unit to analyse images directly at the CCD sensor. Smart cameras can cooperate in order to analyse scenes from different perspectives and track objects autonomously. In large smart camera systems (also known as distributed vision networks), ...



Educational Resources on Distributed vision networks

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IEEE-USA E-Books

  • Real-time communication for distributed vision processing based on imprecise computation model

    None

  • Calibration of distributed vision network in unified coordinate system by mobile robots

    This paper proposes a calibration method of a distributed vision network in a unified world coordinate system. The vision network system is conceived to support a robot working in our daily human life environment: the system provides with visual observation of the dynamically changing situation surrounding the robot. Vision cameras are rather sparsely distributed to cover a wide area such as a block of a town. Position, view direction and range of view are the camera parameters of principal importance to be estimated by the proposed method. A set of calibration data for each distributed camera is provided by a group of mobile robots having a cooperative positioning function and visually distinguishable markers mounted on the body of the robot.

  • PARADIGM: an architecture for distributed vision processing

    A parallel vision architecture called PARADIGM is proposed. PARADIGM has been designed as a mechanism for composing distributed programs for vision processing and spatial-oriented operations. In the PARADIGM environment, users can focus their efforts on solving vision problems and choosing the best strategies for data partitioning without worrying about task allocation/scheduling and details of communications. PARADIGM has been implemented on top of Nectar, a fiber-optic-based network backplane for heterogeneous multicomputers. A prototype spatial database subsystem has been implemented on Nectar using PARADIGM to justify and refine the design of the proposed vision architecture.<<ETX>>

  • Design and Evaluation of a Notification System for Alarm Management in Distributed Vision Networks

    Latest research results in the areas of computer vision and embedded systems have made way for smart cameras. These cameras use a built-in computing unit to analyse images directly at the CCD sensor. Smart cameras can cooperate in order to analyse scenes from different perspectives and track objects autonomously. In large smart camera systems (also known as distributed vision networks), distributed algorithms are needed that allow for cooperation and self-organization among cameras.This paper focuses on alarm management in distributed vision networks, in which security staff is equipped with mobile terminals. These terminals and cameras are connected via an ad hoc network. We present a robust and lightweight algorithm that allows to notify guards quickly in case serious incidents have happened. This algorithm has been evaluated by simulation experiments and in a modestly sized real world testbed. Results show that the algorithm takes reasonable time to terminate (10s) in a network of 100 cameras.



Standards related to Distributed vision networks

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No standards are currently tagged "Distributed vision networks"