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Proceedings Paper

Optic flow estimation using the Hermite transform
Author(s): Boris Escalante-Ramirez; Jose Luis Silvan-Cardenas; Hector Yuen-Zhuo
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Paper Abstract

In this paper we present a spatiotemporal energy based method to estimate motion from an image sequence. A directional energy is defined in terms of the Radon projections of the Hermite transform. Radon transform provides a suitable representation for image orientation analysis, while Hermite transform describes image features locally in term of Gaussian derivatives. These operators have been used in computer vision for feature extraction and are relevant in visual system modeling. A directional response defined from the directional energy is used to estimate local motion as well as to compute a confidence matrix. This matrix provides a confidence measure for our estimate and is used to propagate the velocity information towards directions with high uncertainty. With this results, there can be applications ranging from motion compensation, and tracking of moving objects, to segmentation and video compression.

Paper Details

Date Published: 2 November 2004
PDF: 12 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.562364
Show Author Affiliations
Boris Escalante-Ramirez, Univ. Nacional Autonoma de Mexico (Mexico)
Jose Luis Silvan-Cardenas, Ctr. de Investigacion en Geografia y Geomatica (Mexico)
Hector Yuen-Zhuo, Univ. Nacional Autonoma de Mexico (Mexico)

Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

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