Sub-pixel point detection algorithm for point tracking with low-power wearable camera systems: a simplified linear interpolation

Show simple item record

dc.contributor.author Wilk, Mariusz P.
dc.contributor.author Urru, Andrea
dc.contributor.author Tedesco, Salvatore
dc.contributor.author O'Flynn, Brendan
dc.date.accessioned 2018-02-13T12:12:11Z
dc.date.available 2018-02-13T12:12:11Z
dc.date.issued 2017-06
dc.identifier.citation Wilk, M. P., Urru, A., Tedesco, S. and O'Flynn, B. (2017) 'Sub-pixel point detection algorithm for point tracking with low-power wearable camera systems: a simplified linear interpolation', 28th Irish Signals and Systems Conference (ISSC), Killarney, Ireland, 20-21 June. doi:10.1109/ISSC.2017.7983629 en
dc.identifier.startpage 1 en
dc.identifier.endpage 6 en
dc.identifier.uri http://hdl.handle.net/10468/5450
dc.identifier.doi 10.1109/ISSC.2017.7983629
dc.description.abstract With the continuous developments in vision sensor technology, highly miniaturized low-power and wearable vision sensing is becoming a reality. Several wearable vision applications exist which involve point tracking. The ability to efficiently detect points at a sub-pixel level can be beneficial, as the accuracy of point detection is no longer limited to the resolution of the vision sensor. In this work, we propose a novel Simplified Linear Interpolation (SLI) algorithm that achieves high computational efficiency, which outperforms existing algorithms in terms of the accuracy under certain conditions. We present the principles underlying our algorithm and evaluate it in a series of test scenarios. Its performance is finally compared to similar algorithms currently available in the literature. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.ispartof 28th Irish Signals and Systems Conference (ISSC)
dc.relation.uri http://www.issc.ie/site/view/7/
dc.rights © 2017, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Sub-pixel en
dc.subject Point detection en
dc.subject Low power en
dc.subject Wearable en
dc.subject Vision en
dc.subject Approximation en
dc.subject Cameras en
dc.subject Image sensors en
dc.subject Interpolation en
dc.subject Object detection en
dc.subject Object tracking en
dc.subject Image resolution en
dc.subject Algorithm en
dc.title Sub-pixel point detection algorithm for point tracking with low-power wearable camera systems: a simplified linear interpolation en
dc.type Conference item en
dc.internal.authorcontactother Brendan O'Flynn, Tyndall Microsystems, University College Cork, Cork, Ireland. +353-21-490-3000 Email: brendan.oflynn@tyndall.ie en
dc.internal.availability Full text available en
dc.date.updated 2018-02-07T09:30:29Z
dc.description.version Accepted Version en
dc.internal.rssid 424843622
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Killarney, Ireland en
dc.internal.IRISemailaddress brendan.oflynn@tyndall.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en


Files in this item

This item appears in the following Collection(s)

Show simple item record

This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement