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

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