Dynamic Time Warping for Vehicle Classification
Alternative metrics PlumXhttp://hdl.handle.net/11012/42961
MetadataShow full item record
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.
Document typePeer reviewed
SourceProceedings of the 21st Conference STUDENT EEICT 2015. s. 156-158. ISBN 978-80-214-5148-3
- Student EEICT 2015