Sökning: "multi-object smoothing"

Hittade 2 avhandlingar innehållade orden multi-object smoothing.

  1. 1. 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

  3. 2. 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