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  1. 1. Clustering for Multi-Target Tracking

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Jonas Hyllengren; [2017]
    Nyckelord :Multitarget Tracking MTT Clustering Association;

    Sammanfattning : This thesis presents a clustering-based approach to decrease the computational cost of data association in multi-target tracking. This is achieved by clustering the sensor tracks using approximate distance functions, thereby decreasing the number of possible associations and the need to calculate expensive statistical distances between tracks. LÄS MER