Sub-pixel point detection algorithm for point tracking with low-power wearable camera systems: a simplified linear interpolation
dc.contributor.author | Wilk, Mariusz P. | |
dc.contributor.author | Urru, Andrea | |
dc.contributor.author | Tedesco, Salvatore | |
dc.contributor.author | O'Flynn, Brendan | |
dc.contributor.funder | Science Foundation Ireland | en |
dc.contributor.funder | European Regional Development Fund | en |
dc.date.accessioned | 2018-02-13T12:12:11Z | |
dc.date.available | 2018-02-13T12:12:11Z | |
dc.date.issued | 2017-06 | |
dc.date.updated | 2018-02-07T09:30:29Z | |
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.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
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.doi | 10.1109/ISSC.2017.7983629 | |
dc.identifier.endpage | 6 | en |
dc.identifier.startpage | 1 | en |
dc.identifier.uri | https://hdl.handle.net/10468/5450 | |
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.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ | en |
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 |
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