A marker detection method using hysteresis thresholding for human posture tracking: A head tracking system

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dc.contributor.authorDirican, Ahmet Cengizhan
dc.date.accessioned2025-10-29T12:08:41Z
dc.date.issued2014
dc.departmentGebze Teknik Üniversitesi
dc.description7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014 -- Rhodes -- 113522
dc.description.abstractThis paper presents an easy to implement and fast marker detection method suitable for real-time marker-based human posture tracking. The method works on a color segmentation algorithm based on hysteresis thresholding conducted on meaningful pixels in an image. After the segmentation algorithm is described, the experimental results for an artificial scene are given. Then, the applicability of the method is examined by means of a postural tracking application. The change in elbow angle between upper arm and forearm of a person is tracked during continuous flexion and extension movements with 21.5 Hz frequency for 640× 480 resolution. The paper finally introduces the head tracking system developed using the proposed marker detection method. © 2021 Elsevier B.V., All rights reserved.
dc.description.sponsorshipComputer Science and Engineering Department, UTA (CSE@UTA); et al.; The Fulbright Foundation; The HERACLEIA Human Centered Computing Laboratory at UTA; The National Center for Scientific Research (NCSR)- Demokritos; The University of Texas at Arlington Research Institute (UTARI)
dc.identifier.doi10.1145/2674396.2674423
dc.identifier.isbn9781450385855
dc.identifier.isbn9781450314398
dc.identifier.isbn9781450396387
dc.identifier.isbn9781450390019
dc.identifier.isbn9781450390217
dc.identifier.isbn9781450348270
dc.identifier.isbn9781450381963
dc.identifier.isbn9781450322485
dc.identifier.isbn9781450348201
dc.identifier.isbn9781450364454
dc.identifier.scopus2-s2.0-84939247731
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://doi.org/10.1145/2674396.2674423
dc.identifier.urihttps://hdl.handle.net/20.500.14854/14642
dc.identifier.volume2014-May
dc.indekslendigikaynakScopus
dc.institutionauthorDirican, Ahmet Cengizhan
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofACM International Conference Proceeding Series
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20251020
dc.subjectBody motion
dc.subjectHead
dc.subjectHysteresis thresholding
dc.subjectMarker-based
dc.subjectMotion tracking
dc.subjectPosture
dc.subjectSegmentation
dc.titleA marker detection method using hysteresis thresholding for human posture tracking: A head tracking system
dc.typeConference Object

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