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Analysis of Recent Advances in Optical Flow Estimation Methods

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Computer Aided Systems Theory – EUROCAST 2011 (EUROCAST 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6927))

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Abstract

One of the key problems in computer vision is the estimation of motion in image sequences. The apparent displacement of the pixels through the image sequence is generally called optical flow. This is a low-level task that is the base for many other high-level applications, such us stereoscopic vision and 3D scene reconstruction, object tracking, ambient intelligence, video surveillance, medical image analysis, meteorological prediction and analysis, and so on. After many years of intense research, we may consider that the optical flow research field is not mature yet. The quality and amount of recent publications, with many important contributions, reflect that this is a very active field. It is attracting many researchers in computer vision that make evolve the field in a steady way. In this paper we examine the last contributions and most important ideas about optical flow that have appeared during the last years.

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Authors and Affiliations

  1. Imaging Technology Center (www.ctim.es), University of Las Palmas de Gran Canaria, 35017, Las Palmas de Gran Canaria, Spain

    Javier Sánchez

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  1. Javier Sánchez
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Editors and Affiliations

  1. Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz  & Alexis Quesada-Arencibia  & 

  2. Institute of Systems Science, Johannes Kepler University Linz, Altenbergerstrasse 69, 4040, Linz, Austria

    Franz Pichler

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Sánchez, J. (2012). Analysis of Recent Advances in Optical Flow Estimation Methods. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27549-4_78

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  • DOI: https://doi.org/10.1007/978-3-642-27549-4_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27548-7

  • Online ISBN: 978-3-642-27549-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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