Motion estimation using 3-D infinite frequency resolution analysis

Takaaki Ueda*, Shigeki Hirobayashi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The spatiotemporal spectra of a movie that contains a moving object form a plane in the three-dimensional (3-D) frequency domain. This plane, which is referred to as the theoretical motion plane, reflects the velocity and calculating the slope of the moving objects. However, if the resolution of the frequency analysis method is not high enough to obtain the actual spectra from the objective signal, the spatiotemporal spectra disperse away from the theoretical motion plane. In the present paper, we propose a infinite frequency resolution method, referred to as three-dimensional (3-D) Non-harmonic analysis (NHA), which is only weakly influenced by the analysis window. In addition, we estimate the motion vectors of objects in a movie using the clustering method in conjunction with the least squares method (LSM) for the spatiotemporal spectrum of 3-D NHA.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1186-1189
Number of pages4
ISBN (Print)9781424442966
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: 2010/03/142010/03/19

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country/TerritoryUnited States
CityDallas, TX
Period2010/03/142010/03/19

Keywords

  • Frequency domain analysis
  • Image analysis
  • Image object detection
  • Image sequence analysis
  • Signal analysis

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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