Moving object detection and tracking in videos

dc.contributor.authorKarasulu, Bahadir
dc.contributor.authorKorukoglu, Serdar
dc.date.accessioned2025-01-27T18:53:08Z
dc.date.available2025-01-27T18:53:08Z
dc.date.issued2013
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThis chapter provides four sections. The first section introduces the moving object D&T infrastructure and basis of some methods for object detection and tracking (D&T) in videos. In object D&T applications, there is manual or automatic D&T process. Also, the image features, such as color, shape, texture, contours, and motion can be used to track the moving object(s) in videos. The detailed information for moving object detection and well-known trackers are presented in this section as well. In second section, the background subtraction (BS) method and its applications are given in details. The third section declares the details for Mean-shift (MS), Mean-shift filtering (MSF), and continuously adaptive Mean-shift (CMS or CAMShift) methods and their applications. In fourth section, the details for the optical flow (OF), the corner detection through feature points, and OF-based trackers are given in details. © The Author(s) 2013.
dc.identifier.doi10.1007/978-1-4614-6534-8_2
dc.identifier.endpage30
dc.identifier.issn2191-5768
dc.identifier.issue9781461465331
dc.identifier.scopus2-s2.0-85044956924
dc.identifier.scopusqualityQ4
dc.identifier.startpage7
dc.identifier.urihttps://doi.org/10.1007/978-1-4614-6534-8_2
dc.identifier.urihttps://hdl.handle.net/20.500.12428/12602
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.subjectBackground subtraction; CAMShift; Mean-shift; Mean-shift filtering; Optical flow
dc.titleMoving object detection and tracking in videos
dc.typeBook Chapter

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