Extended Object Tracking and Shape Classification

Date

2018-07-10

Author

Tuncer, Barkın
Kumru, Murat
Alatan, Abdullah Aydın
Özkan, Emre

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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

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar