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Showing 1 to 12 of 12 for “"camera networks"”.

  1. Localization and Optimization Problems for Camera Networks

    … of networked control systems, we focus on networks of autonomous PTZ cameras. A large set of cameras communicating each other through a network is a widely used architecture in application areas like video surveillance, tracking and motion. First, we consider relative localization in sensor …

    poli-torino Repository record for Localization and Optimization Problems for Camera Networks (opens in a new tab)

  2. The role of groups in smart camera networks

    Recent research in sensor networks has made it possible to deploy networks of sensors with significant local processing. These sensor networks are revolutionising information collection and processing in many different environments. Often the amount of local data produced by these devices, and …

    mit Repository record for The role of groups in smart camera networks (opens in a new tab)

  3. Dynamic Camera Positioning and Reconfiguration for Multi-Camera Networks

    The large availability of different types of cameras and lenses, together with the reduction in price of video sensors, has contributed to a widespread use of video surveillance systems, which have become a widely adopted tool to enforce security and safety, in detecting and preventing crimes and …

    trento Repository record for Dynamic Camera Positioning and Reconfiguration for Multi-Camera Networks (opens in a new tab)

  4. Sensor planning for novel view generation by camera networks

    … from a set of independent networked robotic cameras. Specifically, the robotic cameras work to seek out texture and geometric information needed to generate the specified synthetic view or views, aiming to-with each successive camera move-increase confidence in the estimates of the pixel …

    mit Repository record for Sensor planning for novel view generation by camera networks (opens in a new tab)

  5. Models and data sources for economical computer vision in camera networks

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms

    uiuc Repository record for Models and data sources for economical computer vision in camera networks (opens in a new tab)

  6. Predictive Duty Cycling of Radios and Cameras using Augmented Sensing in Wireless Camera Networks

    … every aspect of the design of wireless camera networks (WCNs), and duty cycling of radios and cameras is an important tool for achieving high energy efficiencies. However, duty cycling in WCNs is made complex by the camera nodes having to anticipate the arrival of the objects in their …

    purdue-thes Repository record for Predictive Duty Cycling of Radios and Cameras using Augmented Sensing in Wireless Camera Networks (opens in a new tab)

  7. Resource-Aware Distributed Particle Filtering for Cluster-Based Object Tracking in Wireless Camera Networks

    … sensors have enabled the development of wireless camera networks (WCN). In this dissertation, we consider the problem of real-time object tracking with a WCN. Existing object tracking methods designed for multi-camera systems do not take into account the unique constraints of WCNs. Specifically, …

    purdue-thes Repository record for Resource-Aware Distributed Particle Filtering for Cluster-Based Object Tracking in Wireless Camera Networks (opens in a new tab)

  8. You Only Look Twice: An Ensemble Deep Learning Model for Wildfire Detection Using Terrestrial Camera Networks

    … and localizing wildfires through terrestrial cameras positioned on elevated terrain, aimed at improving early detection capabilities and response times while maintaining computational efficiency and reliability for the U.S. Space Force in Southern California. We present YOL2, a novel ensemble …

    mit Repository record for You Only Look Twice: An Ensemble Deep Learning Model for Wildfire Detection Using Terrestrial Camera Networks (opens in a new tab)

  9. Ultra-low-power Wireless Camera Network Nodes: Design and Performance Analysis

    A methodology for designing Wireless Camera Network nodes featuring long lifetime is presented. Wireless Camera Networks may nd widespread application in the elds of security, animal monitoring, elder care and many others. Unfortunately, their development is currently thwarted by the lack of nodes …

    trento Repository record for Ultra-low-power Wireless Camera Network Nodes: Design and Performance Analysis (opens in a new tab)

  10. Advancing approaches to multi-target multi-camera tracking: Graph-based features, language integration, privacy preservation, and large language agent frameworks

    Multi-target multi-camera tracking (MTMCT) is a cornerstone of intelligent transportation systems (ITS), enabling comprehensive monitoring and analysis of vehicle movements across distributed camera networks. Although significant progress has been made, fundamental challenges persist in data …

    utc Repository record for Advancing approaches to multi-target multi-camera tracking: Graph-based features, language integration, privacy preservation, and large language agent frameworks (opens in a new tab)

  11. Information selection and fusion in vision systems

    … by data-intensive imaging systems, such as multi-camera surveillance systems and microscopes, is technically challenging. While image and video compression help to manage the data volumes, they do not address the basic problem of information overflow. In this PhD we tackle the problem in a more …

    ghent Repository record for Information selection and fusion in vision systems (opens in a new tab)

  12. Robust Real-Time Recognition of Action Sequences Using a Multi-Camera Network

    … public safety and national security. Distributed camera networks that provide multiple views of a scene are ideally suited for real-time action recognition. However, deployments of multi-camera based real-time action recognition systems have thus far been inhibited because of several practical …

    wvu Repository record for Robust Real-Time Recognition of Action Sequences Using a Multi-Camera Network (opens in a new tab)