Search for dissertations about: "multi- object tracking"

Showing result 1 - 5 of 25 swedish dissertations containing the words multi- object tracking.

  2. 1. Conjugate priors for Bayesian object tracking

    Author : Yuxuan Xia; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayesian estimation; object tracking; multi-object smoothing; backward simulation; automotive radar; extended object; conjugate prior; random finite sets; multi-object tracking; sets of trajectories.;

    Abstract : Object tracking refers to the problem of using noisy sensor measurements to determine the location and characteristics of objects of interest in clutter. Nowadays, object tracking has found applications in numerous research venues as well as application areas, including air traffic control, maritime navigation, remote sensing, intelligent video surveillance, and more recently environmental perception, which is a key enabling technology in autonomous vehicles. READ MORE

  4. 2. Deep Learning For Model-Based Multi-Object Tracking

    Author : Juliano Pinto; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; multi-object smoothing; multi-object tracking; Deep learning; multi-object tracking performance measures;

    Abstract : Multi-object tracking (MOT) is the task of estimating the state of multiple objects based on noisy sensor measurements. MOT is essential in various applications, such as pedestrian monitoring, vehicle tracking, animal behavior analysis, and others. READ MORE

  5. 3. Poisson Multi-Bernoulli Mixtures for Multiple Object Tracking

    Author : Yuxuan Xia; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayesian filtering; random finite sets; multi- object tracking; trajectory estimation; extended object; conjugate prior;

    Abstract : Multi-object tracking (MOT) refers to the process of estimating object trajectories of interest based on sequences of noisy sensor measurements obtained from multiple sources. Nowadays, MOT has found applications in numerous areas, including, e.g. READ MORE

  6. 4. Learning Object Properties From Manipulation for Manipulation

    Author : Püren Güler; Danica Kragic; Jeremy L. Wyatt; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; robotics; manipulation; object properties; simulation; machine learning; object tracking; active exploration; sensory integration; Computer Science; Datalogi;

    Abstract : The world contains objects with various properties - rigid, granular, liquid, elastic or plastic. As humans, while interacting with the objects, we plan our manipulation by considering their properties. For instance, while holding a rigid object such as a brick, we adapt our grasp based on its centre of mass not to drop it. READ MORE

  7. 5. Visual Object Tracking and Classification Using Multiple Sensor Measurements

    Author : Yixiao Yun; Chalmers tekniska högskola; []
    Keywords : 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;

    Abstract : 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. READ MORE