Sökning: "Visual tracking"

Visar resultat 1 - 5 av 106 avhandlingar innehållade orden Visual tracking.

  1. 1. Learning visual perception for autonomous systems

    Författare :Gustav Häger; Michael Felsberg; Per-Erik Forssén; Fahad Shahbaz Khan; Roman Pflugfelder; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer vision; visual object tracking; tracking; machine learning; deep learning;

    Sammanfattning : In the last decade, developments in hardware, sensors and software have made it possible to create increasingly autonomous systems. These systems can be as simple as limited driver assistance software lane-following in cars, or limited collision warning systems for otherwise manually piloted drones. LÄS MER

  3. 2. Visual Odometryin Principle and Practice

    Författare :Mikael Persson; Michael Felsberg; Klas Nordberg; Per-Erik Forssén; Janne Heikkilä; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Visual Odometry; Continuous Pose Trajectory; P3P; PNP; VO; Tracking; Calibration;

    Sammanfattning : Vision is the primary means by which we know where we are, what is nearby, and how we are moving. The corresponding computer-vision task is the simultaneous mapping of the surroundings and the localization of the camera. This goes by many names of which this thesis uses Visual Odometry. LÄS MER

  4. 3. Visual Object Tracking and Classification Using Multiple Sensor Measurements

    Författare :Yixiao Yun; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; sensor fusion; Riemannian manifold; visual pattern classification; multiple view geometry; Visual object tracking; boosting; multiple sensor measurement;

    Sammanfattning : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. LÄS MER

  5. 4. Stochastic Modeling for Video Object Tracking and Online Learning: manifolds and particle filters

    Författare :Zulfiqar Hasan Khan; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; anisotropic mean shift; online learning of reference object; covariance tracking; consensus point feature correspondences; Bayesian tracking; Gabor features; Visual object tracking; Grassmann manifold.; Riemannian manifold; particle filters;

    Sammanfattning : Classical visual object tracking techniques provide effective methods when parameters of the underlying process lie in a vector space. However, various parameter spaces commonly occurring in visual tracking violate this assumption. LÄS MER

  7. 5. Anticipation and Attention in Robot Control

    Författare :Birger Johansson; Kognitionsvetenskap; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; eye-movements; visual field; tracking; occlusion; cognitive modelling; boebot; e-puck; color tracking; multi-agent; epistemic action; architecture; agent; robot; anticipation; attention; prediction;

    Sammanfattning : Anticipatory and predictive models are becoming very important features of robot systems. This thesis investigates some aspects of predictive modeling. LÄS MER