Dynamic Time Warping for Vehicle Classification

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eeict2015-156-halachkin.pdf(868.65 KB)
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2015
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
This work focuses on the dynamic time warping for vehicle classification. The theoretical part includes the dynamic time warping algorithm description. The DTW module in Python, that was created during this work, is subsequently applied for the recognition of vehicle types by their side profiles based on the DTW.
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dynamic time warping, vehicle classification, vehicle side profile
Citation
Proceedings of the 21st Conference STUDENT EEICT 2015. s. 156-158. ISBN 978-80-214-5148-3
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/42961
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Student EEICT 2015
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