MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D

MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D

Multiple object tracking has been a challenging field, mainly due to noisy detection sets an identity switch caused by occlusion and similar appearance among nearby targets. Previous works rely on appearance models that are built on an individual or several selected frames for the comparison of feat...

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Bibliographic Details
Main Authors: Zheng Tang, Jenq-Neng Hwang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
3D tracking
appearance modeling
data analytics
multimedia signal processing
multiple object tracking
multi-target tracking
Online Access:https://ieeexplore.ieee.org/document/8660675/

Internet

https://ieeexplore.ieee.org/document/8660675/

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