Second order variational optic flow estimation

Authors:
L. Alvarez;C. A. Castaño;M. García;K. Krissian;L. Mazorra;A. Salgado;J. Sánchez
Affiliations:
Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

Citing 7
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Abstract

In this paper we present a variational approach to accurately estimate the motion vector field in a image sequence introducing a second order Taylor expansion of the flow in the energy function to be minimized. This feature allows us to simultaneously obtain, in addition, an estimation of the partial derivatives of the motion vector field. The performance of our approach is illustrated with the estimation of the displacement vector field on the well known Yosemite sequence and compared to other techniques from the state of the art.