Fusion of frequency and spatial domain information for motion analysis

Alexia Briassouli, Narendra Ahuja

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

Abstract

This paper presents an approach to the analysis of multiple motions in video, which combines frequency and spatial domain information in a new manner. The tasks of interest are finding the number of moving objects, velocity estimation, object tracking, and motion segmentation. We propose a novel, hybrid approach, which avoids problems of spatial domain methods, like sensitivity to illumination changes or great computational cost, but also uses spatial information for precise object localization. Experiments with synthetic and real sequences, show both the possibilities and limitations of this approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
EditorsJ. Kittler, M. Petrou, M. Nixon
Pages175-178
Number of pages4
DOIs
StatePublished - Dec 17 2004
EventProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
Duration: Aug 23 2004Aug 26 2004

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2
ISSN (Print)1051-4651

Other

OtherProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
CountryUnited Kingdom
CityCambridge
Period8/23/048/26/04

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Briassouli, A., & Ahuja, N. (2004). Fusion of frequency and spatial domain information for motion analysis. In J. Kittler, M. Petrou, & M. Nixon (Eds.), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 (pp. 175-178). (Proceedings - International Conference on Pattern Recognition; Vol. 2). https://doi.org/10.1109/ICPR.2004.1334089