Sökning: "computer vision"

Visar resultat 16 - 20 av 483 avhandlingar innehållade orden computer vision.

  1. 16. Computational Methods for Computer Vision : Minimal Solvers and Convex Relaxations

    Författare :Viktor Larsson; Mathematical Imaging Group; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Vision; Geometric Vision; minimal solvers; Convex relaxation; Pose estimation;

    Sammanfattning : Robust fitting of geometric models is a core problem in computer vision. The most common approach is to use a hypothesize-and-test framework, such as RANSAC. In these frameworks the model is estimated from as few measurements as possible, which minimizes the risk of selecting corrupted measurements. LÄS MER

  3. 17. Computer Vision Based Analysis of Animal Behavior

    Författare :Tobias Palmér; Mathematical Imaging Group; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Datorseende; bildanalys; djurbeteende; neurofysiologi; tillämpningar; refraktion; Computer vision; animal tracking; behavioral analysis; refractions; underwater images; relative pose;

    Sammanfattning : The behavior of animals is commonly studied in medicine and biology. There is a large variation in what animals are studied, in experimental paradigms and purpose.However, many studies on animal behavior have at least one thing in common - it typically involves measuring or studying the kinematics of the animal. LÄS MER

  4. 18. Vision-based Human Detection from Mobile Machinery in Industrial Environments

    Författare :Rafael Mosberger; Achim J. Lilienthal; Henrik Andreasson; Jürgen Gall; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Industrial Safety; Mobile Machinery; Human Detection; Computer Vision; Machine Learning; Infrared Vision; High-visibility Clothing; Reflective Markers; Datavetenskap; Computer Science;

    Sammanfattning : The problem addressed in this thesis is the detection, localisation and tracking of human workers from mobile industrial machinery using a customised vision system developed at Örebro University. Coined the RefleX Vision System, its hardware configuration and computer vision algorithms were specifically designed for real-world industrial scenarios where workers are required to wear protective high-visibility garments with retro-reflective markers. LÄS MER

  5. 19. Embedded high-resolution stereo-vision of high frame-rate and low latency through FPGA-acceleration

    Författare :Carl Ahlberg; Mikael Ekström; Ignacio Bravo Munoz; Mälardalens högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer vision; stereo vision; FPGA; embedded systems; Computer Science; datavetenskap;

    Sammanfattning : Autonomous agents rely on information from the surrounding environment to act upon. In the array of sensors available, the image sensor is perhaps the most versatile, allowing for detection of colour, size, shape, and depth. For the latter, in a dynamic environment, assuming no a priori knowledge, stereo vision is a commonly adopted technique. LÄS MER

  7. 20. Computational driver behavior models for vehicle safety applications

    Författare :Malin Svärd; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Driver adaptation; Driver models; Visual attention; Safety benefit assessment; Evidence accumulatoin; PrARX; Hybrid dynamical systems; ADAS; Predictive processing;

    Sammanfattning : The aim of this thesis is to investigate how human driving behaviors can be formally described in mathematical models intended for online personalization of advanced driver assistance systems (ADAS) or offline virtual safety evaluations. Both longitudinal (braking) and lateral (steering) behaviors in routine driving and emergencies are addressed. LÄS MER