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dc.contributor.author | Prodaiko, Ivan![]() |
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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 |