Sökning: "Michael Felsberg"

Visar resultat 1 - 5 av 29 avhandlingar innehållade orden Michael Felsberg.

  1. 1. Detection and Tracking in Thermal Infrared Imagery

    Författare :Amanda Berg; Michael Felsberg; Jörgen Ahlberg; Thomas B. Moeslund; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; thermal; infrared; detection; tracking;

    Sammanfattning : Thermal cameras have historically been of interest mainly for military applications. Increasing image quality and resolution combined with decreasing price and size during recent years have, however, opened up new application areas. They are now widely used for civilian applications, e.g. LÄS MER

  2. 2. Learning to Analyze what is Beyond the Visible Spectrum

    Författare :Amanda Berg; Michael Felsberg; Jörgen Ahlberg; Robert Jenssen; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Thermal cameras have historically been of interest mainly for military applications. Increasing image quality and resolution combined with decreasing camera price and size during recent years have, however, opened up new application areas. They are now widely used for civilian applications, e.g. LÄS MER

  3. 3. Learning to Analyze Visual Data Streams for Environment Perception

    Författare :Emil Brissman; Michael Felsberg; Bastian Leibe; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : A mobile robot, instructed by a human operator, acts in an environment with many other objects. However, for an autonomous robot, human instructions should be minimal and only high-level instructions, such as the ultimate task or destination. LÄS MER

  4. 4. Learning Convolution Operators for Visual Tracking

    Författare :Martin Danelljan; Michael Felsberg; Fahad Shahbaz Khan; Jiri Matas; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Visual tracking is one of the fundamental problems in computer vision. Its numerous applications include robotics, autonomous driving, augmented reality and 3D reconstruction. In essence, visual tracking can be described as the problem of estimating the trajectory of a target in a sequence of images. LÄS MER

  5. 5. Uncertainty-Aware Convolutional Neural Networks for Vision Tasks on Sparse Data

    Författare :Abdelrahman Eldesokey; Michael Felsberg; Fahad Shahbaz Khan; Richard Bowden; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Early computer vision algorithms operated on dense 2D images captured using conventional monocular or color sensors. Those sensors embrace a passive nature providing limited scene representations based on light reflux, and are only able to operate under adequate lighting conditions. LÄS MER