A case study: People detection and tracking in videos

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dc.contributor.authorKarasulu, Bahadir
dc.contributor.authorKorukoglu, Serdar
dc.date.accessioned2025-01-27T18:53:09Z
dc.date.available2025-01-27T18:53:09Z
dc.date.issued2013
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThis chapter provides three sections. The first section introduces the video database that it is used in our experiments. This database is based on people surveillance footage and called CAVIAR. In our study, the performance results are based on both qualitative and quantitative evaluation. In second section, some experimental results of our study are presented via qualitative and overall quantitative (i.e., numerical) results of performance. In addition, we explain that the capabilities of ViCamPEv are used to obtain these results. In third section, we present both statistical and algorithmic analysis of relevant object D&T methods. These methods are comparable via the results in related tables for related methods. The discussion about given methods are presented through these experimental results and performance evaluation. © The Author(s) 2013.
dc.identifier.doi10.1007/978-1-4614-6534-8_5
dc.identifier.endpage63
dc.identifier.issn2191-5768
dc.identifier.issue9781461465331
dc.identifier.scopus2-s2.0-85044917764
dc.identifier.scopusqualityQ4
dc.identifier.startpage51
dc.identifier.urihttps://doi.org/10.1007/978-1-4614-6534-8_5
dc.identifier.urihttps://hdl.handle.net/20.500.12428/12605
dc.identifier.volume0
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofSpringerBriefs in Computer Science
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectAlgorithmic analysis; CAVIAR; Performance evaluation; Statistical analysis; ViCamPEv
dc.titleA case study: People detection and tracking in videos
dc.typeBook Chapter

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