A CNN implementation of the Horn & Schunck motion estimation method

A. Gacsádi, C. Grava, V. Tiponuţ, P. Szolgay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper the parallel implementation of the Horn and Schunck motion estimation method in image sequences is presented, by using Cellular Neural Networks (CNN). One of the drawbacks of the classical motion estimation algorithms is the computational time. The goal of the CNN implementation of the Horn & Schunck method is to increase the efficiency of the wellknown classical implementation of this method, which is one of the most used algorithms among the motion estimation techniques. The aim is to obtain a smaller computation time and to include such an algorithm in motion compensation algorithms implemented using CNN, in order to obtain homogeneous algorithms for real-time applications in artificial vision or medical imaging.

Original languageEnglish
Title of host publicationProceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424406404, 9781424406401
DOIs
Publication statusPublished - Jan 1 2006
Event2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 - Istanbul, Turkey
Duration: Aug 28 2006Aug 30 2006

Publication series

NameProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

Other

Other2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
CountryTurkey
CityIstanbul
Period8/28/068/30/06

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Keywords

  • Cellular neural networks
  • Image processing
  • Motion estimation
  • Optical flow
  • Real-time applications

ASJC Scopus subject areas

  • Software

Cite this

Gacsádi, A., Grava, C., Tiponuţ, V., & Szolgay, P. (2006). A CNN implementation of the Horn & Schunck motion estimation method. In Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 [4145855] (Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CNNA.2006.341615