Online Multiple Object Tracking Based on Open-Set Few-Shot Learning

How to make an online tracking model effectively adapt to newly appearing objects and object disappearance as well as appearance variations of target objects from few examples is an essential issue in multiple object tracking (MOT). Learning target appearances from few examples is a few-shot classif...

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Bibliographic Details
Main Authors: Han-Ul Kim, Yeong Jun Koh, Chang-Su Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9229413/