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Extended Object Tracking and Shape Classification
Date
2018-07-10
Author
Tuncer, Barkın
Kumru, Murat
Alatan, Abdullah Aydın
Özkan, Emre
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Recent extended target tracking algorithms provide reliable shape estimates while tracking objects. The estimated extent of the objects can also be used for online classification. In this work, we propose to use a Bayesian classifier to identify different objects based on their contour estimates during tracking. The proposed method uses the uncertainty information provided by the estimation covariance of the tracker.
Subject Keywords
Learning
,
Classification
,
Bayesian
,
Gaussian process
,
Shape-based classification
,
Contour representation
,
Extended target tracking
URI
https://hdl.handle.net/11511/36431
DOI
https://doi.org/10.23919/icif.2018.8455464
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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BibTeX
B. Tuncer, M. Kumru, A. A. Alatan, and E. Özkan, “Extended Object Tracking and Shape Classification,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36431.