Translator Disclaimer
1 April 2020 Optimizing rectangular-shaped object tracking with subpixel resolution
Author Affiliations +
Object tracking with subpixel accuracy often needs targets with special shapes, which include random dot patterns, circular objects or targets with irregular contours. Unfortunately, in majority of real applications no such objects are found or cannot be attached to the region of interest and non-optimal objects must be used. Among those, we will analyze here the performance of rectangular objects that may be common in natural or artificial targets. Object tracking has been performed through the two most common methods that appear in the literature: centroid calculation and cross-correlation with peak interpolation. Numerical simulations show that tracking results for such objects are highly dependent of the object orientation with respect to the direction of movement. This is due to the interference of the object borders and the sensor and how is the subpixel information obtained. Best results are obtained for object orientations from 5 to 30 deg with respect to the normal to the displacement directions. Experimental results confirm the simulations and allow us to establish that, although object alignment provides a better image on the sensor with sharper borders, this situation is not desirable for accurate subpixel tracking, with accuracies varying from accuracies of 0.08 px (RMS error) with aligned objects to 0.02px with a misaligned target.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Belen Ferrer, Jorge Perez, David Mas, and Julian Espinosa "Optimizing rectangular-shaped object tracking with subpixel resolution", Proc. SPIE 11353, Optics, Photonics and Digital Technologies for Imaging Applications VI, 113531R (1 April 2020);


CMOS image sensor characterization experimental setup
Proceedings of SPIE (October 08 2015)
An approach to the correspondence problem in the 1 D...
Proceedings of SPIE (February 24 2009)
Boundary estimation for multiply digitized objects
Proceedings of SPIE (August 11 1995)

Back to Top