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dc.contributor.authorTopçu, O.
dc.contributor.authorErcan, Ali Özer
dc.contributor.authorAlatan, A. A.
dc.date.accessioned2016-02-16T10:26:02Z
dc.date.available2016-02-16T10:26:02Z
dc.date.issued2014
dc.identifier.isbn978-1-4503-2925-5
dc.identifier.urihttp://hdl.handle.net/10679/2552
dc.identifier.urihttp://dl.acm.org/citation.cfm?id=2659056
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractMultiple object tracking within a network of cameras with overlapping fields of views has gained interest. The acquisition of images in an asynchronous manner hinders the practical implementation of such systems. Most of the previous work reported tests over short intervals, leaving the performance degradation due to asynchronous image acquisition unknown. In this work, we propose an online method to recover the synchronization error while tracking objects. The recovered error is fed back to trackers so as to restore their performance. The time synchronization error is measured by the mismatch in the epipolar constraint between the two cameras. We show that successful recovery of the synchronization error is possible when its product with the object motion speeds are within some limits.
dc.language.isoengen_US
dc.publisherACM
dc.relation.ispartofICDSC '14 Proceedings of the International Conference on Distributed Smart Cameras
dc.rightsrestrictedAccess
dc.titleRecovery of temporal synchronization error through online 3D tracking with two camerasen_US
dc.typeConference paperen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID35788
dc.contributor.ozuauthorErcan, Ali Özer
dc.identifier.doi10.1145/2659021.2659056
dc.subject.keywordsSynchronization
dc.subject.keywords3D tracking
dc.subject.keywordsOcclusion
dc.contributor.authorMale1


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