Sökning: "Object Tracking"

Visar resultat 1 - 5 av 105 avhandlingar innehållade orden Object Tracking.

  1. 1. Conjugate priors for Bayesian object tracking

    Författare :Yuxuan Xia; Chalmers tekniska högskola; []
    Nyckelord :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.;

    Sammanfattning : 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. LÄS MER

  3. 2. 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

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

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

    Sammanfattning : 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. LÄS MER

  5. 4. Expressing emotions through vibration for perception and control

    Författare :Shafiq ur Réhman; Li Liu; Xiaoyi Jiang; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Multimodal Signal Processing; Mobile Communication; Vibrotactile Rendering; Locally Linear Embedding; Object Detection; Human Facial Expression Analysis; Lip Tracking; Object Tracking; HCI; Expectation-Maximization Algorithm; Lipless Tracking; Image Analysis; Visually Impaired.; Signal processing; Signalbehandling; Image analysis; Bildanalys; Computer science; Datavetenskap; Telecommunication; Telekommunikation; Systems engineering; Systemteknik; datoriserad bildanalys; Computerized Image Analysis; business data processing; administrativ databehandling; Electronics; elektronik; Systems Analysis; systemanalys;

    Sammanfattning : This thesis addresses a challenging problem: “how to let the visually impaired ‘see’ others emotions”. We, human beings, are heavily dependent on facial expressions to express ourselves. A smile shows that the person you are talking to is pleased, amused, relieved etc. LÄS MER

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

    Författare :Yuxuan Xia; Chalmers tekniska högskola; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER