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Sub-pixel point detection algorithm for point tracking with low-power wearable camera systems: a simplified linear interpolation
Wilk, Mariusz P.; Urru, Andrea; Tedesco, Salvatore; O'Flynn, Brendan
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.
Keyword(s): Sub-pixel; Point detection; Low power; Wearable; Vision; Approximation; Cameras; Image sensors; Interpolation; Object detection; Object tracking; Image resolution; Algorithm
Publication Date:
2017
Type: Conference item
Peer-Reviewed: Yes
Language(s): English
Institution: University College Cork
Funder(s): Science Foundation Ireland
Citation(s): 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
Publisher(s): Institute of Electrical and Electronics Engineers (IEEE)
File Format(s): application/pdf
Related Link(s): http://www.issc.ie/site/view/7/
First Indexed: 2018-02-14 06:30:07 Last Updated: 2018-02-14 06:30:07