Person re-identification in a top-view multi-camera environment

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dc.contributor.author Prodaiko, Ivan
dc.date.accessioned 2020-01-28T13:06:31Z
dc.date.available 2020-01-28T13:06:31Z
dc.date.issued 2020
dc.identifier.citation Prodaiko, Ivan. Person re-identification in a top-view multi-camera environment : Master Thesis : manuscript rights / Ivan Prodaiko ; Supervisor Dr. George Barvinok ; Ukrainian Catholic University, Department of Computer Sciences. – Lviv : [s.n.], 2020. – 37 p. : ill. uk
dc.identifier.uri http://er.ucu.edu.ua/handle/1/1903
dc.language.iso en uk
dc.subject Cosine similarity uk
dc.subject Scale-Invariant Feature Transform uk
dc.subject Speeded Up Robust Features uk
dc.title Person re-identification in a top-view multi-camera environment uk
dc.type Preprint uk
dc.status Публікується вперше uk
dc.description.abstracten The thesis introduces the reader to the concepts of edge computing in terms of person re-identification and tracking problem. It describes the challenges, limitations, and current state-of-the-art solutions. The author proposed a pipeline for the task, launched several experiments on validating different parts of the system, and provided a theoretical explanation of the person re-identification process in the overlapping multi-camera environment. uk


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