Translator Disclaimer
Paper
25 June 1999 Optical-flow estimation by means of local projection analysis with the Radon-Hermite transform
Author Affiliations +
Abstract
In this paper we present a spatiotemporal energy-based method to estimate motion in image sequences. A directional energy is defined in terms of the 1D Hermite transform coefficients of Radon projections. Radon transform provides a suitable representation for image orientation analysis, while Hermite transform describes image features locally in terms of Gaussian derivatives. These operators have long ben use din computer vision for feature extraction and are relevant in visual system modeling. Here it is shown that the cascaded Radon-Hermite transformation is readily computed as a linear mapping of the 3D Hermite transform coefficients through some steering functions. A directional response defined from the directional energy is used to estimate local motion of 1D and 2D patterns as well as to compute an uncertainty matrix. This matrix provides a confidence measure for our estimate and it is used to propagate the velocity information toward directions with high uncertainty. Practical considerations and experimental results are also of concern.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris Escalante-Ramirez and Jose Luis Silvan-Cardenas "Optical-flow estimation by means of local projection analysis with the Radon-Hermite transform", Proc. SPIE 3816, Mathematical Modeling, Bayesian Estimation, and Inverse Problems, (25 June 1999); https://doi.org/10.1117/12.351306
PROCEEDINGS
11 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Motion field estimation for complex scenes
Proceedings of SPIE (November 01 1991)
Estimation of image motion through mathematical modeling
Proceedings of SPIE (April 21 1995)
Applications of polynomial transforms to motion estimation
Proceedings of SPIE (September 24 1998)
Optic flow estimation using the Hermite transform
Proceedings of SPIE (November 02 2004)
Model-based multiple-sensor dynamic scene interpretation
Proceedings of SPIE (February 01 1992)

Back to Top